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.
Papers
More filters
Journal ArticleDOI
Creating a data resource: what will it take to build a medical information commons?
Patricia A. Deverka,Mary A. Majumder,Angela G. Villanueva,Margaret Anderson,Annette Bakker,Jessica Bardill,Eric Boerwinkle,Tania Bubela,Barbara J. Evans,Nanibaa’ A. Garrison,Richard A. Gibbs,Robert Gentleman,David Glazer,Melissa M. Goldstein,Henry T. Greely,Crane Harris,Bartha Maria Knoppers,Barbara A. Koenig,Isaac S. Kohane,Salvatore La Rosa,John Mattison,Christopher J. O'Donnell,Arti K. Rai,Heidi L. Rehm,Laura Lyman Rodriguez,R.N. Shelton,Tania Simoncelli,Sharon F. Terry,Michael S. Watson,John Wilbanks,Robert Cook-Deegan,Amy L. McGuire +31 more
TL;DR: Eight core principles are proposed by a diverse group of expert stakeholders to guide the formation of a successful, sustainable MIC and provide a framework for advancing the policy response to data-sharing opportunities and challenges.
Journal ArticleDOI
The anatomy of successful computational biology software.
Stephen F. Altschul,Barry Demchak,Richard Durbin,Robert Gentleman,Martin Krzywinski,Heng Li,Anton Nekrutenko,James T. Robinson,Wayne Rasband,James Taylor,Cole Trapnell +10 more
TL;DR: Creators of software widely used in computational biology discuss the factors that contributed to their success and suggest ideas for future generations of software developers.
Book ChapterDOI
Distance Measures in DNA Microarray Data Analysis
TL;DR: Both supervised and unsupervised machine learning techniques require selection of a measure of distance between, or similarity among, the objects to be classified or clustered.
Journal ArticleDOI
Data standards for flow cytometry.
Josef Spidlen,Robert Gentleman,Perry D. Haaland,Morgan Langille,Nolwenn Le Meur,Michael F. Ochs,Charles Schmitt,Clayton A. Smith,Adam Treister,Ryan R. Brinkman +9 more
TL;DR: A standardized approach to capturing, analyzing, and disseminating FCM data that will facilitate both more complex analyses and analysis of datasets that could not previously be efficiently studied is implemented.
Journal ArticleDOI
Current Topics in Computational Molecular Biology
TL;DR: The book is an edited collection of contributions by a wide range of researchers from different backgrounds and provides a good overview of the current state of the art in computational molecular biology, with little reference to topics that one might classify as bioinformatics.