edgeR: a Bioconductor package for differential expression analysis of digital gene expression data MD Robinson, DJ McCarthy, GK Smyth bioinformatics 26 (1), 139-140, 2010 | 36748 | 2010 |
A scaling normalization method for differential expression analysis of RNA-seq data MD Robinson, A Oshlack Genome biology 11, 1-9, 2010 | 7757 | 2010 |
Comprehensive genomic characterization defines human glioblastoma genes and core pathways Cancer Genome Atlas Research Network Tissue source sites: Duke University ... Nature 455 (7216), 1061-1068, 2008 | 7421 | 2008 |
Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences C Soneson, MI Love, MD Robinson F1000 Research 4, 1521, 2015 | 3586 | 2015 |
Global landscape of protein complexes in the yeast Saccharomyces cerevisiae NJ Krogan, G Cagney, H Yu, G Zhong, X Guo, A Ignatchenko, J Li, S Pu, ... Nature 440 (7084), 637-643, 2006 | 3459 | 2006 |
Systematic genetic analysis with ordered arrays of yeast deletion mutants AHY Tong, M Evangelista, AB Parsons, H Xu, GD Bader, N Pagé, ... Science 294 (5550), 2364-2368, 2001 | 2610 | 2001 |
Small-sample estimation of negative binomial dispersion, with applications to SAGE data MD Robinson, GK Smyth Biostatistics 9 (2), 321-332, 2008 | 1320 | 2008 |
Count-based differential expression analysis of RNA sequencing data using R and Bioconductor S Anders, DJ McCarthy, Y Chen, M Okoniewski, GK Smyth, W Huber, ... Nature Protocols 8 (9), 1765-86, 2013 | 1295 | 2013 |
Large-scale mapping of human protein-protein interactions by mass spectrometry RM Ewing, P Chu, F Elisma, H Li, P Taylor, S Climie, ... Molecular systems biology 3 (1), 2007 | 1231 | 2007 |
Moderated statistical tests for assessing differences in tag abundance MD Robinson, GK Smyth Bioinformatics 23 (21), 2881-2887, 2007 | 1113 | 2007 |
Eleven grand challenges in single-cell data science D Lähnemann, J Köster, E Szczurek, DJ McCarthy, SC Hicks, ... Genome biology 21 (1), 1-35, 2020 | 995 | 2020 |
From RNA-seq reads to differential expression results A Oshlack, MD Robinson, MD Young Genome biology 11, 1-10, 2010 | 957 | 2010 |
High-throughput mapping of a dynamic signaling network in mammalian cells M Barrios-Rodiles, KR Brown, B Ozdamar, R Bose, Z Liu, RS Donovan, ... Science 307 (5715), 1621-1625, 2005 | 880 | 2005 |
Bias, robustness and scalability in single-cell differential expression analysis C Soneson, MD Robinson Nature methods 15 (4), 255-261, 2018 | 699 | 2018 |
High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy C Krieg, M Nowicka, S Guglietta, S Schindler, FJ Hartmann, LM Weber, ... Nature Medicine 24, 144–153, 2018 | 680 | 2018 |
FunSpec: a web-based cluster interpreter for yeast MD Robinson, J Grigull, N Mohammad, TR Hughes BMC bioinformatics 3, 1-5, 2002 | 514 | 2002 |
High-definition macromolecular composition of yeast RNA-processing complexes NJ Krogan, WT Peng, G Cagney, MD Robinson, R Haw, G Zhong, X Guo, ... Molecular cell 13 (2), 225-239, 2004 | 469 | 2004 |
Robustly detecting differential expression in RNA sequencing data using observation weights X Zhou, H Lindsay, MD Robinson Nucleic acids research 42 (11), e91-e91, 2014 | 454 | 2014 |
CyTOF workflow: differential discovery in high-throughput high-dimensional cytometry datasets M Nowicka, C Krieg, LM Weber, FJ Hartmann, S Guglietta, B Becher, ... F1000 Research 6 (748), 2017 | 451 | 2017 |
Genome-wide analysis of mRNA stability using transcription inhibitors and microarrays reveals posttranscriptional control of ribosome biogenesis factors J Grigull, S Mnaimneh, J Pootoolal, MD Robinson, TR Hughes Molecular and cellular biology, 2004 | 432 | 2004 |