Tim Beißbarth

发表

A new sensitivity-preferred strategy to build prediction rules for therapy response of cancer patients using gene expression data

Klaus Jung, Marian Grade, Jochen Gaedcke, 2010, Comput. Methods Programs Biomed..

Frontmatter, Table of Contents, Preface, Conference Organization

Martin Kollmar, Edgar Wingender, Tim Beißbarth, 2013, German Conference on Bioinformatics.

Using RNA-Seq Data for the Detection of a Panel of Clinically Relevant Mutations

Alexander Wolff, Tim Beißbarth, Júlia Perera-Bel, 2018, GMDS.

Large scale statistical inference of signaling pathways from RNAi and microarray data

Holger Fröhlich, Tim Beißbarth, Holger Sültmann, 2007, BMC Bioinformatics.

Predicting pathway membership via domain signatures

Holger Fröhlich, Tim Beißbarth, Holger Sültmann, 2008, Bioinform..

Connecting high-dimensional mRNA and miRNA expression data for binary medical classification problems

Edgar Wingender, Tim Beißbarth, Klaus Jung, 2013, Comput. Methods Programs Biomed..

Text mining-based word representations for biomedical data analysis and machine learning tasks

Tim Beißbarth, Halima Alachram, Hryhorii Chereda, 2020, bioRxiv.

RPPanalyzer: Analysis of reverse-phase protein array data

Heiko A. Mannsperger, Tim Beißbarth, Ulrike Korf, 2010, Bioinform..

Processing and quality control of DNA array hybridization data

Martin Vingron, Tim Beißbarth, Benedikt Brors, 2000, Bioinform..

RPPanalyzer toolbox: an improved R package for analysis of reverse phase protein array data.

Jens Timmer, Daniel Kaschek, Tim Beißbarth, 2014, BioTechniques.

Comparative study on gene set and pathway topology-based enrichment methods

Tim Beißbarth, Frank Kramer, Annalen Bleckmann, 2015, BMC Bioinformatics.

R-Based Software for the Integration of Pathway Data into Bioinformatic Algorithms

Tim Beißbarth, Michaela Bayerlová, Frank Kramer, 2014, Biology.

Comparison of global tests for functional gene sets in two-group designs and selection of potentially effect-causing genes

Edgar Brunner, Tim Beißbarth, Benjamin Becker, 2011, Bioinform..

Sequential interim analyses of survival data in DNA microarray experiments

Tim Beißbarth, Andreas Leha, Klaus Jung, 2011, BMC Bioinformatics.

Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer

Tim Beißbarth, Frank Kramer, Andreas Leha, 2020, Genome Medicine.

Reporting FDR analogous confidence intervals for the log fold change of differentially expressed genes

Tim Beißbarth, Tim Friede, Klaus Jung, 2011, BMC Bioinformatics.

Adaption of the global test idea to proteomics data with missing values

Asima Bibi, Tim Beißbarth, Klaus Jung, 2014, Bioinform..

Estimating large-scale signaling networks through nested effect models with intervention effects from microarray data

Holger Fröhlich, Tim Beißbarth, Holger Sültmann, 2008, Bioinform..

Mapping Cellular Microenvironments: Proximity Labeling and Complexome Profiling (Seventh Symposium of the Göttingen Proteomics Forum)

Tim Beißbarth, Henning Urlaub, Kirstin Feussner, 2019, Cells.

From somatic variants towards precision oncology: Evidence-driven reporting of treatment options in molecular tumor boards

Tim Beißbarth, Barbara Hutter, Benedikt Brors, 2018, Genome Medicine.

Graph based fusion of miRNA and mRNA expression data improves clinical outcome prediction in prostate cancer

Tim Beißbarth, Holger Sültmann, Harald Binder, 2011, BMC Bioinformatics.

Working with Ontologies.

Tim Beißbarth, Frank Kramer, T. Beißbarth, 2017, Methods in molecular biology.

Deterministic Effects Propagation Networks for reconstructing protein signaling networks from multiple interventions

Holger Fröhlich, Tim Beißbarth, Christian Bender, 2009, BMC Bioinformatics.

Boolean ErbB network reconstructions and perturbation simulations reveal individual drug response in different breast cancer cell lines

Tim Beißbarth, Christian Bender, Ulrike Korf, 2014, BMC Systems Biology.

Estimating Large Scale Scale Signaling Networks through Nested Effects Models from Intervention Effects in Microarray Data

Holger Fröhlich, Tim Beißbarth, Holger Sültmann, 2007, German Conference on Bioinformatics.

A systematic approach for comprehensive T-cell epitope discovery using peptide libraries

Terence P. Speed, Gordon K. Smyth, Tim Beißbarth, 2005, ISMB.

NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding

Daniel Marcu, Xin Gao, Sophia Ananiadou, 2020, npj Systems Biology and Applications.

Dynamic deterministic effects propagation networks: learning signalling pathways from longitudinal protein array data

Holger Fröhlich, Tim Beißbarth, Stefan Wiemann, 2010, Bioinform..

Reconstruction of Protein Networks Using Reverse-Phase Protein Array Data.

Tim Beißbarth, Frank Kramer, Christian Bender, 2016, Methods in molecular biology.

Constructing temporal regulatory cascades in the context of development and cell differentiation

Tim Beißbarth, Martin Haubrock, Edgar Wingender, 2020, PloS one.

Extending pathways based on gene lists using InterPro domain signatures

Tim Beißbarth, Stefan Wiemann, Annemarie Poustka, 2008, BMC Bioinformatics.

Inferring signalling networks from longitudinal data using sampling based approaches in the R-package 'ddepn'

Tim Beißbarth, Stefan Wiemann, Christian Bender, 2010, BMC Bioinformatics.

Analyzing gene perturbation screens with nested effects models in R and bioconductor

Holger Fröhlich, Achim Tresch, Rainer Spang, 2008, Bioinform..

Modeling ERBB receptor-regulated G1/S transition to find novel targets for de novo trastuzumab resistance

Holger Fröhlich, Denis Thieffry, Claudine Chaouiya, 2009, BMC Systems Biology.

Utilization of ordinal response structures in classification with high-dimensional expression data

Tim Beißbarth, Andreas Leha, Klaus Jung, 2013, GCB.

GOSim – an R-package for computation of information theoretic GO similarities between terms and gene products

Holger Fröhlich, Tim Beißbarth, Nora Speer, 2007, BMC Bioinformatics.

pwOmics: an R package for pathway-based integration of time-series omics data using public database knowledge

Tim Beißbarth, Astrid Wachter, T. Beißbarth, 2015, Bioinform..

Automated 3D-2D registration of X-ray microcomputed tomography with histological sections for dental implants in bone using chamfer matching and simulated annealing

Frank Schwarz, Tim Beißbarth, Martin Stauber, 2015, Comput. Medical Imaging Graph..

pathClass: an R-package for integration of pathway knowledge into support vector machines for biomarker discovery

Holger Fröhlich, Tim Beißbarth, Holger Sültmann, 2011, Bioinform..

Discrimination of Direct and Indirect Interactions in a Network of Regulatory Effects

Achim Tresch, Tim Beißbarth, Holger Sültmann, 2007, J. Comput. Biol..

QuantProReloaded: quantitative analysis of microspot immunoassays

Achim Tresch, Tim Beißbarth, Stefan Wiemann, 2010, Bioinform..

rBiopaxParser - an R package to parse, modify and visualize BioPAX data

Tim Beißbarth, Frank Kramer, Annalen Bleckmann, 2013, Bioinform..

Integration of pathway knowledge into a reweighted recursive feature elimination approach for risk stratification of cancer patients

Holger Fröhlich, Tim Beißbarth, Holger Sültmann, 2010, Bioinform..

BITES: balanced individual treatment effect for survival data pdf

Rainer Spang, Tim Beißbarth, Michael Altenbuchinger, 2022, Bioinformatics.

Predicting the Effect of Variants of Unknown Significance in Molecular Tumor Boards with the VUS-Predict Pipeline

Tim Beißbarth, Jürgen Dönitz, Raphael Koch, 2021, GMDS.

Bioinformatic Methods and Resources for Biomarker Discovery, Validation, Development, and Integration

Tim Beißbarth, Andreas Leha, Júlia Perera-Bel, 2018, Predictive Biomarkers in Oncology.

Detection of Simultaneous Group Effects in MicroRNA Expression and Related Target Gene Sets

Tim Beißbarth, Klaus Jung, Annalen Bleckmann, 2012, PloS one.

Impact of frailty on short- and long-term morbidity and mortality after transcatheter aortic valve implantation: risk assessment by Katz Index of activities of daily living.

Tim Beißbarth, Wolfgang Schillinger, Annalen Bleckmann, 2014, EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology.

mRNA Profiling Reveals Determinants of Trastuzumab Efficiency in HER2-Positive Breast Cancer

Tim Beißbarth, Dorit Arlt, Silvia von der Heyde, 2015, PloS one.

Integrative omics - from data to biology

Tim Beißbarth, Henning Urlaub, Kirstin Feussner, 2018, Expert review of proteomics.

TGFβ1 regulates HGF‐induced cell migration and hepatocyte growth factor receptor MET expression via C‐ets‐1 and miR‐128‐3p in basal‐like breast cancer

Tim Beißbarth, Stefan Wiemann, Astrid Wachter, 2018, Molecular oncology.

TGF-b signaling

Tim Beißbarth, Holger Sültmann, Ulrike Korf, 2022 .

Impact of RNA degradation on gene expression profiling

Jochen Gaedcke, Peter Jo, Lennart Opitz, 2010, BMC Medical Genomics.

5-Fluorouracil sensitizes colorectal tumor cells towards double stranded DNA breaks by interfering with homologous recombination repair

Jochen Gaedcke, Tim Beißbarth, Matthias Dobbelstein, 2015, Oncotarget.

Estimating Learning Outcomes From Pre- and Posttest Student Self-Assessments: A Longitudinal Study

Tim Beißbarth, Sven Anders, Tobias Pukrop, 2013, Academic medicine : journal of the Association of American Medical Colleges.

Reverse phase protein array based tumor profiling identifies a biomarker signature for risk classification of hormone receptor-positive breast cancer

Rainer König, Tim Beißbarth, Stefan Wiemann, 2014 .

Ror2 Signaling and Its Relevance in Breast Cancer Progression

Tim Beißbarth, Alexander Wolff, Michaela Bayerlová, 2017, Front. Oncol..