R
Robert Gentleman
Researcher at Genentech
Publications - 140
Citations - 53506
Robert Gentleman is an academic researcher from Genentech. The author has contributed to research in topics: Bioconductor & Gene expression profiling. The author has an hindex of 52, co-authored 139 publications receiving 48510 citations. Previous affiliations of Robert Gentleman include Harvard University & Brigham and Women's Hospital.
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Journal ArticleDOI
Comparison of endogenous and overexpressed MyoD shows enhanced binding of physiologically bound sites.
Zizhen Yao,Abraham P Fong,Abraham P Fong,Yi Cao,Walter L. Ruzzo,Robert Gentleman,Stephen J. Tapscott,Stephen J. Tapscott +7 more
TL;DR: The data demonstrate a robust fidelity of transcription factor binding sites over a range of expression levels and that increased amounts of transcription factors increase the binding at physiologically bound sites.
The r environment for statistical computing
Douglas M. Bates,JM Chambers,P. Dalgaard,S. Falcon,Robert Gentleman,Kurt Hornik,Stefano Maria Iacus,R. Ihaka,Friedrich Leisch,U. Ligges,T. Lumley,D. Murdoch,P. Murrell,M. Plummer,BD Ripley,D. Sarkar,D. Temple Lang,Luke Tierney,S. Urbanek +18 more
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Analyzing factorial designed microarray experiments
Denise Scholtens,Alexander Miron,Faisal M. Merchant,Arden Miller,Penelope L. Miron,J. Dirk Iglehart,Robert Gentleman +6 more
TL;DR: An analytic approach for framing biological questions in terms of statistical parameters to efficiently and confidently answer questions of interest using microarray data from factorial designed experiments is discussed.
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Genomic representations using concatenates of Type IIB restriction endonuclease digestion fragments
Torstein Tengs,Thomas LaFramboise,Robert B. Den,David N. Hayes,Jianhua Zhang,Saikat DebRoy,Robert Gentleman,Keith O'Neill,Bruce W. Birren,Matthew Meyerson +9 more
TL;DR: It is shown that the RECORD libraries may be used for digital karyotyping and for pathogen identification by computational subtraction in genomic representation using Type IIB restriction endonucleases.
Journal ArticleDOI
gCMAP: user-friendly connectivity mapping with R.
TL;DR: Two R packages are described, g CMAP and gCMAPWeb, which provide a complete framework to construct and query connectivity maps assembled from user-defined collections of differential gene expression data, which facilitate reproducible research through automatic generation of graphical and tabular reports.