Received ***, revised ***, accepted *** Published online *** (2009)
Rine Dudoit, Houston N. Gilbert
Summary This article proposes resampling-based empirical Bayes multiple testing procedures for controlling a broad class of Type I error rates, defined as generalized tail probability (gTP) error...
Houston N. Gilbert, Katherine S. Pollard, Rine Dudoit
Large scale biological studies often involve testing multiple hypotheses simultaneously. Our research has included resampling-based multiple testing procedures (MTPs) based on a test statistics joint...
Multiple tests of association with biological annotation metadata (2009)
Abstract: We propose a general and formal statistical framework for multiple tests of association between known fixed features of a genome and unknown parameters of the distribution of variable...
Smoking History_____________________________ (2009)
Joint Work S, Ra Sinisi, Annette Molinaro, Rine Dudoit, Merrill Birkner, ...
ESTIMATION PROBLEMS 1. Prediction of clinical outcomes based on epidemiological and genomic data such as gene expression / single nucleotide polymorphism (SNP) / comparative genomic hybridization...
Analysis (A. Poustka) DKFZ Heidelberg Acknowledgements (2008)
Wolfgang Huber, Anja Von Heydebreck, Günther Sawitzki, Holger Sültmann, Klaus Steiner, Markus Vogt, ...
First analysis steps o quality control and optimization o calibration and error modeling o data transformations
Rine Dudoit, Houston N. Gilbert
www.stat.berkeley.edu/~sandrine
Address for correspondence: (2007)
Rine Dudoit, Terence P. Speed, Yongchao Ge, Yongchao Ge
The burgeoning field of genomics has revived interest in multiple testing procedures by raising new methodological and computational challenges. For example, microarray experiments generate large...
Address for correspondence: (2007)
Jane Fridly, Rine Dudoit, Sandrine Dudoit
Applications of resampling methods to estimate the number of clusters and to improve the accuracy of a clustering method
Torsten Hothorn, Peter Bühlmann, Rine Dudoit, Annette Molinaro
This document reproduces the data analyses presented in Hothorn et al. (2006). For a description of the theory behind applications shown here we refer to the original manuscript. 1.1 Acute myeloid...
Supervised detection of regulatory motifs in DNA sequences (2003)
Sunduz Keles, Rine Dudoit, Rine Dudoit, Biao Xing, Biao Xing, ...
Copyright c○2003 by the authors. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic,...
Annette M. Molinaro, Rine Dudoit
Tree-based multivariate regression and density
Supervised detection of regulatory motifs in DNA sequences (2003)
Rine Dudoit, Biao Xing, Michael B. Eisen
Identification of transcription factor binding sites (regulatory motifs) is a major interest in contemporary biology. We propose a new likelihood based method, COMODE, for identifying structural...
Joint Work S, Rine Dudoit, Ra Sinisi, Annette Molinaro, Mike Eisen
1. Prediction of clinical outcomes based on epidemiological and genomic data such as gene expression / single nucleotide polymorphism (SNP) / comparative genomic hybridization (CGH). 2. Prediction of...
Asymptotic optimality of likelihoodbased cross validation (2003)
Likelihood-based cross-validation is a statistical tool for selecting a density estimate based on n i.i.d. observations from the true density among a collection of candidate density estimators....
Rine Dudoit, Jane Fridly, Terence P. Speed
A reliable and precise classi � cation of tumors is essential for successful diagnosis and treatment of cancer. cDNA microarrays and highdensity oligonucleotide chips are novel biotechnologies...
Rine Dudoit, Yee Hwa Yang, Matthew J. Callow, Terence P. Speed
Abstract: DNA microarrays are a new and promising biotechnology whichallows the monitoring of expression levels in cells for thousands of genes simultaneously. The present paper describes statistical...
Sandrine Dudoit Yeehwayang, Rine Dudoit, Matthew J. Callow, Terence P. Speed, Sandrine Dudoit
Microarrays are part of a new class of biotechnologies which allow the monitoring of expression levels for thousands of genes simultaneously. This paper describes statistical methods for the...