Jörg Rahnenführer
Jörg Rahnenführer
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Improved scoring of functional groups from gene expression data by decorrelating GO graph structure
A Alexa, J Rahnenführer, T Lengauer
Bioinformatics 22 (13), 1600-1607, 2006
topGO: enrichment analysis for gene ontology
A Alexa, J Rahnenfuhrer
R package version 2 (0), 2010, 2010
A new measure for functional similarity of gene products based on Gene Ontology
A Schlicker, FS Domingues, J Rahnenführer, T Lengauer
BMC bioinformatics 7, 1-16, 2006
Benchmark for filter methods for feature selection in high-dimensional classification data
A Bommert, X Sun, B Bischl, J Rahnenführer, M Lang
Computational Statistics & Data Analysis 143, 106839, 2020
topGO: Enrichment analysis for Gene Ontology. R package version 2.28. 0
A Alexa, J Rahnenfuhrer
Cranio, 2016
Predicting drug susceptibility of non–small cell lung cancers based on genetic lesions
ML Sos, K Michel, T Zander, J Weiss, P Frommolt, M Peifer, D Li, R Ullrich, ...
The Journal of clinical investigation 119 (6), 1727-1740, 2009
Gene set enrichment analysis with topGO
A Alexa, J Rahnenführer
Bioconductor Improv 27, 1-26, 2009
Arabidopsis female gametophyte gene expression map reveals similarities between plant and animal gametes
SE Wuest, K Vijverberg, A Schmidt, M Weiss, J Gheyselinck, M Lohr, ...
Current biology 20 (6), 506-512, 2010
YLoc—an interpretable web server for predicting subcellular localization
S Briesemeister, J Rahnenfï¿ ½hrer, O Kohlbacher
Nucleic acids research 38 (suppl_2), W497-W502, 2010
Biomarker Discovery in Non–Small Cell Lung Cancer: Integrating Gene Expression Profiling, Meta-analysis, and Tissue Microarray ValidationGene Expression–Based Biomarker …
J Botling, K Edlund, M Lohr, B Hellwig, L Holmberg, M Lambe, A Berglund, ...
Clinical cancer research 19 (1), 194-204, 2013
A Comprehensive Analysis of Human Gene Expression Profiles Identifies Stromal Immunoglobulin κ C as a Compatible Prognostic Marker in Human Solid TumorsIGKC Predicts Prognosis
M Schmidt, B Hellwig, S Hammad, A Othman, M Lohr, Z Chen, D Boehm, ...
Clinical Cancer Research 18 (9), 2695-2703, 2012
Human embryonic stem cell-derived test systems for developmental neurotoxicity: a transcriptomics approach
AK Krug, R Kolde, JA Gaspar, E Rempel, NV Balmer, K Meganathan, ...
Archives of toxicology 87, 123-143, 2013
Loss of circadian clock gene expression is associated with tumor progression in breast cancer
C Cadenas, L van de Sandt, K Edlund, M Lohr, B Hellwig, R Marchan, ...
Cell Cycle 13 (20), 3282-3291, 2014
Role of thioredoxin reductase 1 and thioredoxin interacting protein in prognosis of breast cancer
C Cadenas, D Franckenstein, M Schmidt, M Gehrmann, M Hermes, ...
Breast cancer research 12 (3), 1-15, 2010
Going from where to why—interpretable prediction of protein subcellular localization
S Briesemeister, J Rahnenführer, O Kohlbacher
Bioinformatics 26 (9), 1232-1238, 2010
Calculating the statistical significance of changes in pathway activity from gene expression data
J Rahnenführer, FS Domingues, J Maydt, T Lengauer
Statistical applications in genetics and molecular biology 3 (1), 2004
ERBB2 and TOP2A in breast cancer: a comprehensive analysis of gene amplification, RNA levels, and protein expression and their influence on prognosis and prediction
JC Brase, M Schmidt, T Fischbach, H Sültmann, H Bojar, H Koelbl, ...
Clinical Cancer Research 16 (8), 2391-2401, 2010
Learning multiple evolutionary pathways from cross-sectional data
N Beerenwinkel, J Rahnenführer, M Däumer, D Hoffmann, R Kaiser, ...
Proceedings of the eighth annual international conference on Research in …, 2004
Unsupervised technique for robust target separation and analysis of DNA microarray spots through adaptive pixel clustering
D Bozinov, J Rahnenführer
Bioinformatics 18 (5), 747-756, 2002
The prognostic relevance of tumour-infiltrating plasma cells and immunoglobulin kappa C indicates an important role of the humoral immune response in non-small cell lung cancer
M Lohr, K Edlund, J Botling, S Hammad, B Hellwig, A Othman, A Berglund, ...
Cancer letters 333 (2), 222-228, 2013
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