Panayiotis V. Benos

发表

ECCB 2018: The 17th European Conference on Computational Biology

Yves Moreau, Artemis G. Hatzigeorgiou, Christoforos Nikolaou, 2018, Bioinform..

Biclustering of DNA Microarray Data: Theory, Evaluation, and Applications

Ahmed H. Tewfik, Panayiotis V. Benos, Fazel Famili, 2011, Handbook of Research on Computational and Systems Biology.

Comparison of strategies for scalable causal discovery of latent variable models from mixed data

Panos K. Chrysanthis, Clark Glymour, Joseph Ramsey, 2018, International Journal of Data Science and Analytics.

Reconstructing an Ancestral MammalianImmune Supercomplex from a Marsupial MajorHistocompatibility Complex

Mark D. Robinson, Terence P. Speed, Panayiotis V. Benos, 2006 .

The center for causal discovery of biomedical knowledge from big data

Richard Scheines, Gregory F. Cooper, Clark Glymour, 2015, J. Am. Medical Informatics Assoc..

A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data pdf

Panos K. Chrysanthis, Xiaoyu Ge, Isha Das, 2020, ArXiv.

Biological evaluation of biclustering algorithms using Gene Ontology and chIP-chip data

Ahmed H. Tewfik, Panayiotis V. Benos, Alain B. Tchagang, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Sequence Alignment-Independent Method for Protein Classification

Judith Klein-Seetharaman, Ivet Bahar, Panayiotis V. Benos, 2004, Applied bioinformatics.

Faculty Opinions recommendation of The genetic code is nearly optimal for allowing additional information within protein-coding sequences.

Panayiotis V. Benos, 2008 .

T-ReCS: Stable Selection of Dynamically Formed Groups of Features with Application to Prediction of Clinical Outcomes

Naftali Kaminski, Ioannis Tsamardinos, Panayiotis V. Benos, 2014, Pacific Symposium on Biocomputing.

Self-organizing neural networks to support the discovery of DNA-binding motifs

Aaron Golden, Panayiotis V. Benos, Shaun Mahony, 2006, Neural Networks.

Learning mixed graphical models with separate sparsity parameters and stability-based model selection

Andrew J. Sedgewick, Panayiotis V. Benos, Rory M. Donovan, 2016, BMC Bioinformatics.

HHMMiR: efficient de novo prediction of microRNAs using hierarchical hidden Markov models

Panayiotis V. Benos, Sabah Kadri, Veronica Hinman, 2009, BMC Bioinformatics.

SOP3v2: web-based selection of oligonucleotide primer trios for genotyping of human and mouse polymorphisms

Panayiotis V. Benos, Massimo Trucco, Steven Ringquist, 2005, Nucleic Acids Res..

Inferring protein-DNA dependencies using motif alignments and mutual information

Panayiotis V. Benos, Shaun Mahony, Philip E. Auron, 2007, ISMB/ECCB.

SPECTRAL CLUSTERING STRATEGIES FOR HETEROGENEOUS DISEASE EXPRESSION DATA

Chakra Chennubhotla, Panayiotis V. Benos, Grace T. Huang, 2012, PSB 2012.

Sombrero: Integrating self-organizing neural networks in the search for dna binding motifs

Aaron Golden, Panayiotis V. Benos, Shaun Mahony, 2005 .

Improved detection of DNA motifs using a self-organized clustering of familial binding profiles

Aaron Golden, Panayiotis V. Benos, Shaun Mahony, 2005, ISMB.

Biclustering of DNA Microarray Data: Theory, Evaluation, and Applications

Ahmed H. Tewfik, Fazel Famili, Panayiotis V. Benos, 2011, Handbook of Research on Computational and Systems Biology.

Integrated Theory-and Data-Driven Feature Selection in Gene Expression Data Analysis

Panos K. Chrysanthis, Panayiotis V. Benos, Xiaoyu Ge, 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

Causal network perturbations for instance-specific analysis of single cell and disease samples

Panayiotis V. Benos, Maria Chikina, Kristina L. Buschur, 2019, bioRxiv.

Novel Modeling of Combinatorial miRNA Targeting Identifies SNP with Potential Role in Bone Density

Gary D. Stormo, Naftali Kaminski, Panayiotis V. Benos, 2012, PLoS Comput. Biol..

FOOTER: a web tool for finding mammalian DNA regulatory regions using phylogenetic footprinting

Panayiotis V. Benos, Eleanor Feingold, David L. Corcoran, 2005, Nucleic Acids Res..

Extracting biologically significant patterns from short time series gene expression data

Panayiotis V. Benos, Alain B. Tchagang, Kevin V. Bui, 2009, BMC Bioinformatics.

DNA Familial Binding Profiles Made Easy: Comparison of Various Motif Alignment and Clustering Strategies

Panayiotis V. Benos, Shaun Mahony, Philip E. Auron, 2007, PLoS Comput. Biol..

ComiR: combinatorial microRNA target prediction tool

Panayiotis V. Benos, Claudia Coronnello, P. Benos, 2013, Nucleic Acids Res..

mirConnX: condition-specific mRNA-microRNA network integrator

Panayiotis V. Benos, Grace T. Huang, Charalambos Athanassiou, 2011, Nucleic Acids Res..

Mixed graphical models for integrative causal analysis with application to chronic lung disease diagnosis and prognosis

Clark Glymour, Dimitris V. Manatakis, Joseph Ramsey, 2018, Bioinform..

enoLOGOS: a versatile web tool for energy normalized sequence logos

Gary D. Stormo, Trey Ideker, Christopher T. Workman, 2005, Nucleic Acids Res..

Spectral Clustering Strategies for Heterogeneous Disease Data

Chakra Chennubhotla, Panayiotis V. Benos, Grace T. Huang, 2013, Pacific Symposium on Biocomputing.

STAMP: a web tool for exploring DNA-binding motif similarities

Panayiotis V. Benos, Shaun Mahony, Shaun Mahony, 2007, Nucleic Acids Res..

SAMIE: Statistical Algorithm for Modeling Interaction Energies

Gary D. Stormo, Panayiotis V. Benos, Alan S. Lapedes, 2000, Pacific Symposium on Biocomputing.

piMGM: incorporating multi‐source priors in mixed graphical models for learning disease networks

Dimitris V. Manatakis, Panayiotis V. Benos, Vineet K. Raghu, 2018, Bioinform..

Mixed Graphical Models for Causal Analysis of Multi-modal Variables pdf

Clark Glymour, Joseph Ramsey, Andrew J. Sedgewick, 2017, ArXiv.

High Throughput Determination of TGFβ1/SMAD3 Targets in A549 Lung Epithelial Cells

Oliver Eickelberg, Nir Friedman, Naftali Kaminski, 2011, PloS one.

Finding subtypes of transcription factor motif pairs with distinct regulatory roles

Naftali Kaminski, Panayiotis V. Benos, N. Kaminski, 2011, Nucleic acids research.

Large Scale Comparison of Innate Responses to Viral and Bacterial Pathogens in Mouse and Macaque

Rachel Brower-Sinning, Panayiotis V. Benos, Shaun Mahony, 2011, PloS one.

Respiratory Microbiome Profiling for Etiologic Diagnosis of Pneumonia in Mechanically Ventilated Patients

Dimitris V. Manatakis, Panayiotis V. Benos, Yohei Doi, 2018, Front. Microbiol..

MicroRNA expression profiling predicts clinical outcome of carboplatin/paclitaxel-based therapy in metastatic melanoma treated on the ECOG-ACRIN trial E2603

Panayiotis V. Benos, John M. Kirkwood, Liza C. Villaruz, 2015, Clinical Epigenetics.