F. Emmert-Streib

M. Dehmer, F. Emmert-Streib, S. Borgert, 2008, 2008 First International Conference on Complexity and Intelligence of the Artificial and Natural Complex Systems. Medical Applications of the Complex Systems. Biomedical Computing.

Analysis of Complex Networks: From Biology to Linguistics

M. Dehmer, F. Emmert-Streib, 2009 .

Graph kernels in chemoinformatics

M. Dehmer, F. Emmert-Streib, L. Brun, 2015 .

Ranking Genes from DNA Microarray Data of Cervical Cancer by a local Tree Comparison

M. Dehmer, M. Mühlhäuser, J. Liu, 2006 .

A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data

G. Glazko, M. Dehmer, F. Emmert-Streib, 2012, Scientific Reports.

Influence of Statistical Estimators of Mutual Information and Data Heterogeneity on the Inference of Gene Regulatory Networks

Frank Emmert-Streib, Ricardo de Matos Simoes, F. Emmert-Streib, 2011, PloS one.

Interfacing cellular networks of S. cerevisiae and E. coli: Connecting dynamic and genetic information

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2013, BMC Genomics.

2nd International Conference on Bio-inspired Models of Network, Information, and Computing Systems Home Authors Committees Keynote Speakers Title Author Abstract Self-organizing Mobile Surveillance Security Networks an Information Theoretical Approach for Molecular Communication (invited Paper) Eval

Zhejiang, Shenyang, Benko, 2007 .

Prostate Cancer Gene Regulatory Network Inferred from RNA-Seq Data

M. Dehmer, F. Emmert-Streib, R. D. Simoes, 2019, Current genomics.

Limitations of Gene Duplication Models: Evolution of Modules in Protein Interaction Networks

Frank Emmert-Streib, F. Emmert-Streib, 2012, PloS one.

Utilizing Social Media Data for Psychoanalysis to Study Human Personality

M. Dehmer, O. Yli-Harja, F. Emmert-Streib, 2019, Front. Psychol..

Proteome-transcriptome alignment of molecular portraits achieved by self-contained gene set analysis: Consensus colon cancer subtypes case study

Frank Emmert-Streib, Yasir Rahmatallah, Boris Zybailov, 2019, PloS one.

Comments to “Quantification of network structural dissimilarities” published by Schieber et al

M. Dehmer, F. Emmert-Streib, 2018, Mathematical Methods in the Applied Sciences.

Impact of Variable RNA-Sequencing Depth on Gene Expression Signatures and Target Compound Robustness: Case Study Examining Brain Tumor (Glioma) Disease Progression

Alan R Gilmore, Aideen C Roddy, M. Salto‐Tellez, 2018, JCO precision oncology.

Structural Analysis of Treatment Cycles Representing Transitions between Nursing Organizational Units Inferred from Diabetes

M. Dehmer, F. Emmert-Streib, C. Them, 2015, PloS one.

Network nursing: connections between nursing and complex network science.

M. Dehmer, F. Emmert-Streib, C. Them, 2013, International journal of nursing knowledge.

Biological networks: the microscope of the twenty-first century?

M. Dehmer, F. Emmert-Streib, 2015, Front. Genet..

Enhancing systems medicine beyond genotype data by dynamic patient signatures: having information and using it too

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2013, Front. Genet..

Comprehensive molecular pathology analysis of small bowel adenocarcinoma reveals novel targets with potential for clinical utility

M. Salto‐Tellez, P. Maxwell, P. Hamilton, 2015, Oncotarget.

Graph distance measures based on topological indices revisited

Yongtang Shi, Matthias Dehmer, Frank Emmert-Streib, 2015, Appl. Math. Comput..

Influence of Statistical Estimators on the Large‐Scale Causal Inference of Regulatory Networks

F. Emmert-Streib, R. D. Simoes, 2012 .

Prognostic modeling of predictive maintenance with survival analysis for mobile work equipment

F. Emmert-Streib, J. Kanniainen, Zhen Yang, 2022, Scientific Reports.

Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery

F. Emmert-Streib, 2022, npj Systems Biology and Applications.

Using shRNA experiments to validate gene regulatory networks

Benjamin Haibe-Kains, John Quackenbush, Gianluca Bontempi, 2015, Genomics data.

The usefulness of topological indices

M. Dehmer, F. Emmert-Streib, S. Tripathi, 2022, Inf. Sci..

What Is a Digital Twin? Experimental Design for a Data-Centric Machine Learning Perspective in Health

O. Yli-Harja, F. Emmert-Streib, 2022, International journal of molecular sciences.

Computational Network Analysis with R: Applications in Biology, Medicine, and Chemistry

M. Dehmer, F. Emmert-Streib, Yongtang Shi, 2016 .

An Introductory Review of Deep Learning for Prediction Models With Big Data

M. Dehmer, F. Emmert-Streib, S. Tripathi, 2020, Frontiers in Artificial Intelligence.

The orbit-polynomial

K. Varmuza, M. Dehmer, F. Emmert-Streib, 2020 .

Frontiers in Data Science

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2017 .

Extracting the dynamics of perceptual switching from ‘noisy’ behaviour: An application of hidden Markov modelling to pecking data from pigeons

J. R. Otterpohl, K Pawelzik, J. R Otterpohl, 2000, Journal of Physiology-Paris.

Towards an Information Theory of Complex Networks - Statistical Methods and Applications

Matthias Dehmer, Frank Emmert-Streib, Alexander Mehler, 2011 .

Alkylaminophenol Induces G1/S Phase Cell Cycle Arrest in Glioblastoma Cells Through p53 and Cyclin-Dependent Kinase Signaling Pathway

O. Yli-Harja, F. Emmert-Streib, M. Kandhavelu, 2019, Front. Pharmacol..

Explainable artificial intelligence and machine learning: A reality rooted perspective

Matthias Dehmer, Frank Emmert-Streib, Olli Yli-Harja, 2020, WIREs Data Mining Knowl. Discov..

A Brief Introduction to Complex Networks and Their Analysis

Frank Emmert-Streib, F. Emmert-Streib, 2011, Structural Analysis of Complex Networks.

Stochastic Sznajd Model in open community

F. Emmert-Streib, 2005 .

Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma

Frank Emmert-Streib, Ricardo de Matos Simoes, Shailesh Tripathi, 2012, BMC Systems Biology.

Comparison of module detection algorithms in protein networks and investigation of the biological meaning of predicted modules

Matthias Dehmer, Frank Emmert-Streib, Salissou Moutari, 2016, BMC Bioinformatics.

Fifty years of graph matching, network alignment and network comparison

Yongtang Shi, Matthias Dehmer, Frank Emmert-Streib, 2016, Inf. Sci..

Are There Limits in Explainability of Prognostic Biomarkers? Scrutinizing Biological Utility of Established Signatures

M. Dehmer, O. Yli-Harja, F. Emmert-Streib, 2021, Cancers.

Functional and genetic analysis of the colon cancer network

Andreas Holzinger, Benjamin Haibe-Kains, Matthias Dehmer, 2014, BMC Bioinformatics.

The gene regulatory network for breast cancer: integrated regulatory landscape of cancer hallmarks

Matthias Dehmer, Frank Emmert-Streib, Benjamin Haibe-Kains, 2014, Front. Genet..

Robustness of differential gene expression analysis of RNA-seq

M. Salto‐Tellez, F. Emmert-Streib, D. McArt, 2021, Computational and structural biotechnology journal.

Taxonomy of machine learning paradigms: A data‐centric perspective

M. Dehmer, F. Emmert-Streib, F. Emmert‐Streib, 2022, WIREs Data Mining Knowl. Discov..

A review of connectivity map and computational approaches in pharmacogenomics

Laleh Soltan Ghoraie, Benjamin Haibe-Kains, Matthias Dehmer, 2017, Briefings Bioinform..

Comparing biological information contained in mRNA and non-coding RNAs for classification of lung cancer patients

Matthias Dehmer, Frank Emmert-Streib, Alexey Stupnikov, 2019, BMC Cancer.

Network-Based Methods for Computational Diagnostics by Means of R

Matthias Dehmer, Frank Emmert-Streib, Laurin A. J. Mueller, 2012 .

Large-Scale Statistical Inference of Gene Regulatory Networks: Local Network-Based Measures

Frank Emmert-Streib, F. Emmert-Streib, 2011 .

Quantitative Network Measures as Biomarkers for Classifying Prostate Cancer Disease States: A Systems Approach to Diagnostic Biomarkers

Matthias Dehmer, Frank Emmert-Streib, Laurin A. J. Mueller, 2013, PloS one.

Alkylaminophenol Induces G 1 / S Phase Cell Cycle Arrest in Glioblastoma Cells Through p 53 and Cyclin-Dependent Kinase Signaling Pathway

O. Yli-Harja, F. Emmert-Streib, M. Kandhavelu, 2019 .

L1000 Viewer: A Search Engine and Web Interface for the LINCS Data Repository

Matthias Dehmer, Frank Emmert-Streib, Shailesh Tripathi, 2019, Front. Genet..

Systems Pharmacogenomic Landscape of Drug Similarities from LINCS data: Drug Association Networks

Olli Yli-Harja, Shailesh Tripathi, Matthias Dehmer, 2019, Scientific Reports.

Exploiting Genomic Relations in Big Data Repositories by Graph-Based Search Methods

Matthias Dehmer, Frank Emmert-Streib, Olli Yli-Harja, 2018, Mach. Learn. Knowl. Extr..

Harnessing the biological complexity of Big Data from LINCS gene expression signatures

Meenakshisundaram Kandhavelu, Shailesh Tripathi, Matthias Dehmer, 2018, PloS one.

A topological algorithm for identification of structural domains of proteins

A. Mushegian, F. Emmert-Streib, 2007, BMC Bioinformatics.

A comprehensive survey of error measures for evaluating binary decision making in data science

Matthias Dehmer, Frank Emmert-Streib, Salissou Moutari, 2019, WIREs Data Mining Knowl. Discov..

Gene set analysis approaches for RNA-seq data: performance evaluation and application guideline

Frank Emmert-Streib, Yasir Rahmatallah, Galina V. Glazko, 2015, Briefings Bioinform..

Large-Scale Simultaneous Inference with Hypothesis Testing: Multiple Testing Procedures in Practice

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2019, Mach. Learn. Knowl. Extr..

Influence of the experimental design of gene expression studies on the inference of gene regulatory networks: environmental factors

Frank Emmert-Streib, F. Emmert-Streib, 2013, PeerJ.

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

Isabelle Augenstein, Rita Cucchiara, Wojciech Samek, 2021, Inf. Fusion.

Understanding Statistical Hypothesis Testing: The Logic of Statistical Inference

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2019, Mach. Learn. Knowl. Extr..

Evaluation of Regression Models: Model Assessment, Model Selection and Generalization Error

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2019, Mach. Learn. Knowl. Extr..

Personalized medicine: Has it started yet? A reconstruction of the early history

F. Emmert-Streib, 2013, Front. Genet..

Visualization of Biological Networks Using NetBioV: Applications in Biology, Medicine, and Chemistry

Matthias Dehmer, Frank Emmert-Streib, Salissou Moutari, 2016 .

Universal construction mechanism for networks from one-dimensional symbol sequences

Frank Emmert-Streib, F. Emmert-Streib, 2012, Appl. Math. Comput..

Revealing differences in gene network inference algorithms on the network level by ensemble methods

Frank Emmert-Streib, Gökmen Altay, G. Altay, 2010, Bioinform..

A BRCA1 deficient, NFκB driven immune signal predicts good outcome in triple negative breast cancer

F. Emmert-Streib, G. Irwin, R. Kennedy, 2016, Oncotarget.

Computational Analysis of the structural properties of Economic and Financial Networks

Matthias Dehmer, Olli Yli-Harja, Herbert Jodlbauer, 2017, 1710.04455.

Quantitative Graph Theory: A new branch of graph theory and network science pdf

Yongtang Shi, Matthias Dehmer, Frank Emmert-Streib, 2017, Inf. Sci..

Comparing deep belief networks with support vector machines for classifying gene expression data from complex disorders

Matthias Dehmer, Johannes Smolander, Frank Emmert‐Streib, 2019, FEBS open bio.

2-(2-(2,4-dioxopentan-3-ylidene)hydrazineyl)benzonitrile as novel inhibitor of receptor tyrosine kinase and PI3K/AKT/mTOR signaling pathway in glioblastoma.

O. Yli-Harja, F. Emmert-Streib, M. Kandhavelu, 2019, European journal of medicinal chemistry.

Introduction to Survival Analysis in Practice

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2019, Mach. Learn. Knowl. Extr..

Statistical Inference and Reverse Engineering of Gene Regulatory Networks from Observational Expression Data

Galina V. Glazko, Frank Emmert-Streib, Gökmen Altay, 2012, Front. Gene..

The Orbit-Polynomial: A Novel Measure of Symmetry in Networks

Jin Tao, Zengqiang Chen, Matthias Dehmer, 2020, IEEE Access.

On the degeneracy of the Randić entropy and related graph measures

Yongtang Shi, Zengqiang Chen, Matthias Dehmer, 2019, Inf. Sci..

Towards detecting structural branching and cyclicity in graphs: A polynomial-based approach

Yongtang Shi, Zengqiang Chen, Matthias Dehmer, 2019, Inf. Sci..

Graph measures with high discrimination power revisited: A random polynomial approach

Yongtang Shi, Zengqiang Chen, Matthias Dehmer, 2018, Inf. Sci..

Highly unique network descriptors based on the roots of the permanental polynomial

Bo Hu, Yongtang Shi, Matthias Dehmer, 2017, Inf. Sci..

Editorial: Artificial Intelligence for Precision Medicine

F. Emmert-Streib, J. Chen, T. Hartung, 2022, Frontiers in Artificial Intelligence.

Unite and conquer: univariate and multivariate approaches for finding differentially expressed gene sets

Frank Emmert-Streib, Galina V. Glazko, G. Glazko, 2009, Bioinform..

NetBioV: an R package for visualizing large network data in biology and medicine

Matthias Dehmer, Frank Emmert-Streib, Shailesh Tripathi, 2014, Bioinform..

Detecting sequence dependent transcriptional pauses from RNA and protein number time series

Antti Häkkinen, Frank Emmert-Streib, Andre S. Ribeiro, 2012, BMC Bioinformatics.

Untangling statistical and biological models to understand network inference: the need for a genomics network ontology

Benjamin Haibe-Kains, Matthias Dehmer, Frank Emmert-Streib, 2014, Front. Genet..

Glioblastoma Multiforme Stem Cell Cycle Arrest by Alkylaminophenol through the Modulation of EGFR and CSC Signaling Pathways

P. Ruusuvuori, O. Yli-Harja, F. Emmert-Streib, 2020, Cells.

A clarification of misconceptions, myths and desired status of artificial intelligence

M. Dehmer, O. Yli-Harja, F. Emmert-Streib, 2020, ArXiv.

From the Digital Data Revolution toward a Digital Society: Pervasiveness of Artificial Intelligence

F. Emmert-Streib, F. Emmert‐Streib, 2020, Mach. Learn. Knowl. Extr..

From the digital data revolution to digital health and digital economy toward a digital society: Pervasiveness of Artificial Intelligence pdf

Frank Emmert-Streib, F. Emmert-Streib, 2020, ArXiv.

High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2019, Mach. Learn. Knowl. Extr..

Defining Data Science by a Data-Driven Quantification of the Community

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2018, Mach. Learn. Knowl. Extr..

A Machine Learning Perspective on Personalized Medicine: An Automized, Comprehensive Knowledge Base with Ontology for Pattern Recognition

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2018, Mach. Learn. Knowl. Extr..

Limitations of Explainability for Established Prognostic Biomarkers of Prostate Cancer

M. Dehmer, O. Yli-Harja, F. Emmert-Streib, 2021, Frontiers in Genetics.

Grand Challenges for Artificial Intelligence in Molecular Medicine

F. Emmert-Streib, 2021, Frontiers in Molecular Medicine.

Graph-based exploitation of gene ontology using GOxploreR for scrutinizing biological significance

Frank Emmert-Streib, Olli Yli-Harja, Shailesh Tripathi, 2020, Scientific Reports.

Mathematical Modeling in Systems Biology

Jari Yli-Hietanen, Frank Emmert-Streib, Olli Yli-Harja, 2016, WIVACE.

Data Analytics Applications for Streaming Data From Social Media: What to Predict?

Matthias Dehmer, Frank Emmert-Streib, Olli P. Yli-Harja, 2018, Front. Big Data.

GSAR: Bioconductor package for Gene Set analysis in R

Frank Emmert-Streib, Yasir Rahmatallah, Boris Zybailov, 2017, BMC Bioinformatics.

Extracting the Strongest Signals from Omics Data: Differentially Expressed Pathways and Beyond.

Yasir Rahmatallah, Frank Emmert-Streib, Galina Glazko, 2017, Methods in molecular biology.

Pathway Analysis of Expression Data: Deciphering Functional Building Blocks of Complex Diseases

Frank Emmert-Streib, Galina V. Glazko, G. Glazko, 2011, PLoS Comput. Biol..

Nonlinear time series prediction based on a power-law noise model

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2007 .

Collectives of diagnostic biomarkers identify high-risk subpopulations of hematuria patients: exploiting heterogeneity in large-scale biomarker data

F. Emmert-Streib, D. O’Rourke, R. de Matos Simoes, 2013, BMC Medicine.

An Attempt to Categorize the Severity of the Chronic Fatigue Syndrome Disease using Affective Disorder Pathways

Earl F. Glynn, A. Mushegian, F. Emmert-Streib, 2006 .

Networks for systems biology: conceptual connection of data and function.

F Emmert-Streib, M Dehmer, M. Dehmer, 2011, IET systems biology.

A review of connectivity map and computational approaches in pharmacogenomics

Laleh Soltan Ghoraie, Benjamin Haibe-Kains, Matthias Dehmer, 2017, Briefings Bioinform..

Probabilistic inequalities for evaluating structural network measures

Matthias Dehmer, Frank Emmert-Streib, Veronika Kraus, 2014, Inf. Sci..

Assessment Method for a Power Analysis to Identify Differentially Expressed Pathways

Frank Emmert-Streib, Shailesh Tripathi, F. Emmert-Streib, 2012, PloS one.

Quantitative assessment and validation of network inference methods in bioinformatics

Benjamin Haibe-Kains, Frank Emmert-Streib, B. Haibe-Kains, 2014, Front. Genet..

Information theoretic measures of UHG graphs with low computational complexity

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2007, Appl. Math. Comput..

Exploring Statistical and Population Aspects of Network Complexity

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2012, PloS one.

Fault tolerance of information processing in gene networks

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2009 .

Urinary thrombomodulin levels were significantly higher following occupational exposure to chemicals, in the presence of dipstick protein, but not in the presence of dipstick blood

P. Maxwell, F. Emmert-Streib, D. O’Rourke, 2016 .

Evolutionary dynamics of the spatial Prisoner's Dilemma with self-inhibition

Frank Emmert-Streib, F. Emmert-Streib, 2012, Appl. Math. Comput..

Statistic Complexity: Combining Kolmogorov Complexity with an Ensemble Approach

Frank Emmert-Streib, F. Emmert-Streib, 2010, PloS one.

Named Entity Recognition and Relation Detection for Biomedical Information Extraction

Matthias Dehmer, Frank Emmert-Streib, Nadeesha Perera, 2020, Frontiers in Cell and Developmental Biology.

Understanding the World Economy in Terms of Networks: A Survey of Data-Based Network Science Approaches on Economic Networks

Matthias Dehmer, Olli Yli-Harja, Shailesh Tripathi, 2018, Front. Appl. Math. Stat..

Evaluation of Question Answering Systems: Complexity of judging a natural language

F. Emmert-Streib, Nadeesha Perera, Z. Yang, 2022, ArXiv.

MetrIntSimil - An Accurate and Robust Metric for Comparison of Similarity in Intelligence of Any Number of Cooperative Multiagent Systems

László Barna Iantovics, Matthias Dehmer, Frank Emmert-Streib, 2018, Symmetry.

MetrIntMeas a novel metric for measuring the intelligence of a swarm of cooperating agents

László Barna Iantovics, Sabri Arik, Frank Emmert-Streib, 2017, Cognitive Systems Research.

Self-organized annealing in laterally inhibited neural networks shows power law decay

F. Emmert-Streib, F. Emmert‐Streib, 2004, cond-mat/0401633.

Standardization of Diagnostic Biomarker Concentrations in Urine: The Hematuria Caveat

F. Emmert-Streib, K. Williamson, J. Lamont, 2012, PloS one.

A BRCA 1 deficient , NFκB driven immune signal predicts good outcome in triple negative breast cancer

F. Emmert-Streib, G. Irwin, R. Kennedy, 2016 .

Hosoya entropy of fullerene graphs

Matthias Dehmer, Abbe Mowshowitz, Frank Emmert-Streib, 2019, Appl. Math. Comput..

The Chronic Fatigue Syndrome: A Comparative Pathway Analysis

Frank Emmert-Streib, F. Emmert-Streib, 2007, J. Comput. Biol..

Inference of Genome-Scale Gene Regulatory Networks: Are There Differences in Biological and Clinical Validations?

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2018, Mach. Learn. Knowl. Extr..

Gene Sets Net Correlations Analysis (GSNCA): a multivariate differential coexpression test for gene sets

Frank Emmert-Streib, Yasir Rahmatallah, Galina V. Glazko, 2013, Bioinform..

Quantitative graph theory : mathematical foundations and applications

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2014 .

Comparing large graphs efficiently by margins of feature vectors

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2007, Appl. Math. Comput..

Against Dataism and for Data Sharing of Big Biomedical and Clinical Data with Research Parasites

Matthias Dehmer, Frank Emmert-Streib, Olli Yli-Harja, 2016, Front. Genet..

Combining deep learning with token selection for patient phenotyping from electronic health records

M. Dehmer, O. Yli-Harja, F. Emmert-Streib, 2020, Scientific Reports.

Topological mappings between graphs, trees and generalized trees

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2007, Appl. Math. Comput..

Parametric Construction of Episode Networks from Pseudoperiodic Time Series Based on Mutual Information

Frank Emmert-Streib, F. Emmert-Streib, 2011, PloS one.

Ensuring Quality Standards and Reproducible Research for Data Analysis Services in Oncology: A Cooperative Service Model

Matthias Dehmer, Frank Emmert-Streib, Olli Yli-Harja, 2019, Front. Cell Dev. Biol..

Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing

Matthias Dehmer, Frank Emmert-Streib, Herbert Jodlbauer, 2020, Frontiers in Artificial Intelligence.

Multilayer Aggregation with Statistical Validation: Application to Investor Networks

Juho Kanniainen, Frank Emmert-Streib, Kęstutis Baltakys, 2017, Scientific Reports.

Identifying critical financial networks of the DJIA: Toward a network-based index

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2010, Complex..

Bagging Statistical Network Inference from Large-Scale Gene Expression Data

Frank Emmert-Streib, Ricardo de Matos Simoes, F. Emmert-Streib, 2012, PloS one.

Properties of Commuting Graphs over Semidihedral Groups

Weijun Liu, Matthias Dehmer, Frank Emmert-Streib, 2021, Symmetry.

Data-Driven Computational Social Network Science: Predictive and Inferential Models for Web-Enabled Scientific Discoveries

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2021, Frontiers in Big Data.

Mining Graph Patterns in Web-based Systems: A Conceptual View

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2011, Genres on the Web.

Computational cancer biology: education is a natural key to many locks

Frank Emmert-Streib, F. Emmert-Streib, Shu-Dong Zhang, 2015, BMC Cancer.

Applied Statistics for Network Biology: Methods in Systems Biology

Matthias Dehmer, Frank Emmert-Streib, Armindo Salvador, 2011 .

Entropy of Weighted Graphs with Randi'c Weights

Yongtang Shi, Zengqiang Chen, Matthias Dehmer, 2015, Entropy.

Toward Measuring Network Aesthetics Based on Symmetry

Yongtang Shi, Zengqiang Chen, Matthias Dehmer, 2017, Axioms.

Structural Properties and Complexity of a New Network Class: Collatz Step Graphs

Frank Emmert-Streib, F. Emmert-Streib, 2013, PloS one.

Urothelial cancer gene regulatory networks inferred from large-scale RNAseq, Bead and Oligo gene expression data

Frank Emmert-Streib, Ricardo de Matos Simoes, Sabine Dalleau, 2015, BMC Systems Biology.

The Role of Symmetry in the Aesthetics of Residential Building Façades Using Cognitive Science Methods

Reza Ebrahimpour, Matthias Dehmer, Frank Emmert-Streib, 2020, Symmetry.

A heterosynaptic learning rule for neural networks

F. Emmert-Streib, F. Emmert‐Streib, 2006, cond-mat/0608564.

A Novel Stochastic Learning Rule for Neural Networks

Frank Emmert-Streib, F. Emmert-Streib, 2006, ISNN.

Active Learning in Recurrent Neural Networks Facilitated by a Hebb-like Learning Rule with Memory

Frank Emmert-Streib, F. Emmert-Streib, 2005 .

Information Theory and Statistical Learning

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2010 .

On Entropy-Based Molecular Descriptors: Statistical Analysis of Real and Synthetic Chemical Structures

Stephan Borgert, Matthias Dehmer, Frank Emmert-Streib, 2009, J. Chem. Inf. Model..

Entropy bounds for dendrimers

Yongtang Shi, Zengqiang Chen, Matthias Dehmer, 2014, Appl. Math. Comput..

Connections between Classical and Parametric Network Entropies

Matthias Dehmer, Abbe Mowshowitz, Frank Emmert-Streib, 2011, PloS one.

Structural information content of networks: Graph entropy based on local vertex functionals

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2008, Comput. Biol. Chem..

Optimize Observational Time Points to Maximize the Inferability of Gene Networks

Frank Emmert-Streib, Andre S. Ribeiro, F. Emmert-Streib, 2008, BIOCOMP.

Hierarchical coordination of periodic genes in the cell cycle of Saccharomyces cerevisiae

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2009, BMC Systems Biology.

Organizational Structure of the Transcriptional Regulatory Network of Yeast: Periodic Genes

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2009, Complex.

Algorithmic Computation of Knot Polynomials of Secondary Structure Elements of Proteins

Frank Emmert-Streib, F. Emmert-Streib, 2006, J. Comput. Biol..

Global Genetics Research in Prostate Cancer: A Text Mining and Computational Network Theory Approach

Matthias Dehmer, Frank Emmert-Streib, Aliyu Musa, 2019, Front. Genet..

Quantitative Assessment and Validation of Network

Benjamin Haibe-Kains, Frank Emmert-Streib, B. Haibe-Kains, 2015 .

A novel epidemic model considering demographics and intercity commuting on complex dynamical networks

Qian Yin, Matthias Dehmer, Frank Emmert-Streib, 2020, Appl. Math. Comput..

On the relationship between PageRank and automorphisms of a graph

Matthias Dehmer, Abbe Mowshowitz, Frank Emmert-Streib, 2021, Inf. Sci..

A topological algorithm for identification of structural domains of proteins

Frank Emmert-Streib, Arcady R. Mushegian, A. Mushegian, 2007, BMC Bioinformatics.

Computational network theory : theoretical foundations and applications

Matthias Dehmer, Frank Emmert-Streib, Stefan Pickl, 2015 .

Netmes: Assessing Gene Network Inference Algorithms by Network-Based Measures

M. Dehmer, G. Altay, F. Emmert-Streib, 2014, Evolutionary bioinformatics online.

Structural influence of gene networks on their inference: analysis of C3NET

G. Altay, F. Emmert-Streib, 2011, Biology Direct.

Local network-based measures to assess the inferability of different regulatory networks.

F Emmert-Streib, G Altay, G. Altay, 2010, IET systems biology.

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2007, Appl. Math. Comput..

Constrained Covariance Matrices With a Biologically Realistic Structure: Comparison of Methods for Generating High-Dimensional Gaussian Graphical Models

Matthias Dehmer, Frank Emmert-Streib, Shailesh Tripathi, 2019, Front. Appl. Math. Stat..

B-cell lymphoma gene regulatory networks: biological consistency among inference methods

Matthias Dehmer, Frank Emmert-Streib, Ricardo de Matos Simoes, 2013, Front. Genet..

sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters

M. Dehmer, O. Yli-Harja, F. Emmert-Streib, 2017, BMC Bioinformatics.

Overview of Public Cancer Databases, Resources, and Visualization Tools

M. Dehmer, F. Emmert-Streib, S. Tripathi, 2013 .

Identifying key interactions between process variables of different material categories using mutual information-based network inference method

F. Emmert-Streib, S. Tripathi, H. Jodlbauer, 2021, ISM.

Interrelations of Graph Distance Measures Based on Topological Indices

Yongtang Shi, Matthias Dehmer, Frank Emmert-Streib, 2014, PloS one.

A computational approach to construct a multivariate complete graph invariant

Matthias Dehmer, Frank Emmert-Streib, Martin Grabner, 2014, Inf. Sci..

Comprehensive molecular pathology analysis of small bowel adenocarcinoma reveals novel targets with potential for clinical utility

M. Salto‐Tellez, P. Maxwell, P. Hamilton, 2015 .

Gene set analysis for self-contained tests: complex null and specific alternative hypotheses

Yasir Rahmatallah, Galina V. Glazko, Frank Emmert-Streib, 2012, Bioinform..

Analysis of the real number of infected people by COVID-19: A system dynamics approach

M. Dehmer, F. Emmert-Streib, Bo Zhang, 2021, PloS one.

Relevance of different prior knowledge sources for inferring gene interaction networks

Benjamin Haibe-Kains, John Quackenbush, Gianluca Bontempi, 2014, Front. Genet..

Network signatures based on gene pair expression ratios improve classification and the analysis of muscle-invasive urothelial cancer

Ricardo de Matos Simoes, Frank Emmert-Streib, Kate E. Williamson, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Comparison of Text Mining Models for Food and Dietary Constituent Named-Entity Recognition

M. Dehmer, F. Emmert-Streib, Nadeesha Perera, 2022, Mach. Learn. Knowl. Extr..

A comparative analysis of multidimensional features of objects resembling sets of graphs

Tanja Gesell, Matthias Dehmer, Frank Emmert-Streib, 2008, Appl. Math. Comput..

Combining deep learning with token selection for patient phenotyping from electronic health records

Zhen Yang, Matthias Dehmer, Olli Yli-Harja, 2020, Scientific Reports.

Lessons from the human genome project Citation

M. Dehmer, O. Yli-Harja, F. Emmert-Streib, 2018 .

Editorial: AI and Multi-Omics for Rare Diseases: Challenges, Advances and Perspectives

F. Emmert-Streib, S. Bottini, L. Franco, 2021, Frontiers in Molecular Biosciences.

Interfacing cellular networks of S. cerevisiae and E. coli: Connecting dynamic and genetic information

M. Dehmer, F. Emmert-Streib, Ricardo de Matos Simoes, 2013, BMC Genomics.

Threshold-Learned CNN for Multi-Label Text Classification of Electronic Health Records

F. Emmert-Streib, Zhen Yang, 2023, IEEE Access.

Robustness In Scale-Free Networks: Comparing Directed And Undirected Networks

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2008 .

Functional Annotation of Genes in Saccharomyces cerevisiae based on Joint Betweenness

Frank Emmert-Streib, John D. Storey, F. Emmert-Streib, 2007, 0709.3291.

Matthias Dehmer, Frank Emmert-Streib, Jürgen Kilian, 2006, Appl. Math. Comput..

Advances in network complexity

Matthias Dehmer, Abbe Mowshowitz, Frank Emmert-Streib, 2013 .

samExploreR: exploring reproducibility and robustness of RNA-seq results based on SAM files

Matthias Dehmer, Frank Emmert-Streib, Galina V. Glazko, 2016, Bioinform..

Comparative evaluation of gene set analysis approaches for RNA-Seq data

Frank Emmert-Streib, Yasir Rahmatallah, Galina V. Glazko, 2014, BMC Bioinformatics.

NetBioV: an R package for visualizing large network data in biology and medicine

M. Dehmer, F. Emmert-Streib, S. Tripathi, 2014, Bioinform..

Structural Measures for Network Biology Using QuACN

Matthias Dehmer, Frank Emmert-Streib, Laurin A. J. Mueller, 2011, BMC Bioinformatics.

Hierarchical coordination of periodic genes in the cell cycle of Saccharomyces cerevisiae

M. Dehmer, F. Emmert-Streib, 2009, BMC Systems Biology.

Information processing in the transcriptional regulatory network of yeast: Functional robustness

M. Dehmer, F. Emmert-Streib, 2009, BMC Systems Biology.

Towards a Partitioning of the Input Space of Boolean Networks: Variable Selection Using Bagging

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2009, Complex.

Towards a Channel Capacity of Communication Networks

F. Emmert-Streib, M. Dehmer, M. Dehmer, 2008, 2008 First International Conference on Complexity and Intelligence of the Artificial and Natural Complex Systems. Medical Applications of the Complex Systems. Biomedical Computing.

Analysis of Microarray Data

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2008 .

Interfacing cellular networks of S. cerevisiae and E. coli: Connecting dynamic and genetic

M. Dehmer, F. Emmert-Streib, 2013 .

Theoretical Bounds for the Number of Inferable Edges in Sparse Random Networks

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2006, BIOCOMP.

Artificial Intelligence: A Clarification of Misconceptions, Myths and Desired Status

Matthias Dehmer, Frank Emmert-Streib, Olli Yli-Harja, 2020, Frontiers in Artificial Intelligence.

Report from the 2nd Summer School in Computational Biology organized by the Queen's University of Belfast

Frank Emmert-Streib, Shu-Dong Zhang, Peter Hamilton, 2014, Genomics data.

Measuring the complexity of directed graphs: A polynomial-based approach

Jin Tao, Zengqiang Chen, Abbe Mowshowitz, 2019, PloS one.