Mark D. Robinson
Mark D. Robinson
Full Professor of Statistical Genomics, University of Zurich
Verified email at - Homepage
Cited by
Cited by
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
A scaling normalization method for differential expression analysis of RNA-seq data
MD Robinson, A Oshlack
Genome biology 11, 1-9, 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
Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences
C Soneson, MI Love, MD Robinson
F1000 Research 4, 1521, 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
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
Small-sample estimation of negative binomial dispersion, with applications to SAGE data
MD Robinson, GK Smyth
Biostatistics 9 (2), 321-332, 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
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
Moderated statistical tests for assessing differences in tag abundance
MD Robinson, GK Smyth
Bioinformatics 23 (21), 2881-2887, 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
From RNA-seq reads to differential expression results
A Oshlack, MD Robinson, MD Young
Genome biology 11, 1-10, 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
Bias, robustness and scalability in single-cell differential expression analysis
C Soneson, MD Robinson
Nature methods 15 (4), 255-261, 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
FunSpec: a web-based cluster interpreter for yeast
MD Robinson, J Grigull, N Mohammad, TR Hughes
BMC bioinformatics 3, 1-5, 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
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
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
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
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