- PH C240C-D/STAT C245C-D:
Computational Statistics with Applications in Biology and Medicine I and II
- PH C240E-F/STAT C245E-F:
Statistical Genomics I and II
- Loss-based estimation with cross-validation
- Multiple hypothesis testing
- Statistical computing
- Design and analysis of high-throughput gene expression experiments based on next-generation sequencing and DNA microarrays
- Nucleotide and protein sequence analysis
- Genetic mapping of complex traits
- Analysis of biological annotation metadata
Development and application of statistical methods and software to address problems in biomedical and genomic research.
S. Dudoit and M. J. van der Laan (2008). Multiple Testing Procedures with Applications to Genomics. Springer Series in Statistics.
S. Dudoit, S. Keles, and M. J. van der Laan (2008). Multiple tests of association with biological annotation metadata. In D. Nolan and T. P. Speed (eds), Probability and Statistics: Essays in Honor of David A. Freedman, Vol. 2 of IMS Collections, p. 153-218. [Project Euclid][arXiv]
Bioinformatics and Computational Biology Solutions Using R and Bioconductor (2005). Edited by R. Gentleman, V. Carey, W. Huber, R. Irizarry, and S. Dudoit. Springer Series: Statistics for Biology and Health. Contents, R code, and data: [Bioconductor]
A. Barrier, A. Lemoine, P.-Y. Boelle, C. Tse, D. Brault, F. Chiappini, J. Breittschneider, F. Lacaine, S. Houry, M. Huguier, M. J. van der Laan, T. P. Speed, B. Debuire, A. Flahault, and S. Dudoit (2005). Colon cancer prognosis prediction by gene expression profiling. Oncogene, Vol. 24, No. 40, p. 6155-6164. [Journal website] [Tech report #178] [Daily Cal]
S. Dudoit and M. J. van der Laan (2005). Asymptotics of cross-validated risk estimation in estimator selection and performance assessment. Statistical Methodology, Vol. 2, No. 2, p. 131-154. [Journal website] [Tech report #126]
R. C. Gentleman,V. J. Carey, D. J. Bates, B. Bolstad, M. Dettling, S. Dudoit, B. Ellis, L. Gautier, Y. Ge, J. Gentry, K. Hornik, T. Hothorn, W. Huber, S. Iacus, R. Irizarry, F. Leisch, C. Li, M. Maechler, A. J. Rossini, G. Sawitzki, C. Smith, G. K. Smyth, L. Tierney, Y. H. Yang, and J. Zhang (2004). Bioconductor: Open software development for computational biology and bioinformatics. Genome Biology, Vol. 5, No. 10, Article R80. [Journal website] [Tech report # 1]
S. Dudoit, M. J. van der Laan, and K. S. Pollard (2004). Multiple testing. Part I. Single-step procedures for control of general Type I error rates. Statistical Applications in Genetics and Molecular Biology, Vol. 3, No. 1, Article 13. [Journal website] [Tech report #138]
S. Dudoit, M. J. van der Laan, S. Keles, A. M. Molinaro, S. E. Sinisi, and S. L. Teng (2003). Loss-based estimation with cross-validation: Applications to microarray data analysis. In G. Piatetsky-Shapiro and P. Tamayo (eds), Microarray Data Mining, Special Issue of SIGKDD Explorations, Vol. 5, No. 2, p. 56-68 [Tech report #137]
S. Dudoit, J. Fridlyand, and T. P. Speed (2002). Comparison of discrimination methods for the classification of tumors using gene expression data. Journal of the American Statistical Association, Vol. 97, No. 457, p. 77-87. [Tech report #576]
S. Dudoit and T. P. Speed (1999). A score test for linkage using identity by descent data from sibships. Annals of Statistics, Vol. 27, No. 3, p. 943-986. [Tech report #528]
Professor Dudoit is also involved in the development of statistical software for biological data analysis and is a core member of the Bioconductor Project.