Multiple Testing
Procedures with Applications to Genomics
(2008).
Multiple Testing
Procedures with Applications to Genomics
(2008).
Bioinformatics
and Computational Biology Solutions Using R and Bioconductor
(2005). Y. Wang and S. Dudoit
(2004). Quantification and visualization of LD patterns and
identification of haplotype blocks. [Tech report #150]
M. J. van der Laan, S. Dudoit, and A. W. van de Vaart (2004). The cross-validated adaptive epsilon-net estimator. [Tech report #142]
M. J. van der Laan and S. Dudoit (2003). Unified cross-validation methodology for selection among estimators and a general cross-validated adaptive epsilon-net estimator: Finite sample oracle inequalities and examples. [Tech report #130]
S. Dudoit (2003). IBD configuration transition matrices and linkage score tests for unilineal relative pairs. [Tech report #128]
S. Dudoit, Y. H. Yang, and B. Bolstad (2002). Using R for the analysis of DNA microarray data. R News, Vol. 2, No. 1, p. 24-32. [R News website]
2004
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. Keles, M. J. van der Laan, and S. Dudoit (2004). Asymptotically optimal model selection method with right censored outcomes. Bernoulli, Vol. 10, No. 6, p. 1011-1037. [Abstract] [Tech report #124]
M. J. van der Laan, S. Dudoit, and K. S. Pollard (2004). Augmentation procedures for control of the generalized family-wise error rate and tail probabilities for the proportion of false positives. Statistical Applications in Genetics and Molecular Biology, Vol. 3, No. 1, Article 15. [Journal website] [Tech report #141]
M. J. van der Laan, S. Dudoit, and K. S. Pollard (2004). Multiple testing. Part II. Step-down procedures for control of the family-wise error rate. Statistical Applications in Genetics and Molecular Biology, Vol. 3, No. 1, Article 14. [Journal website] [Tech report #139]
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]
A. M. Molinaro, S. Dudoit,
and M. J. van der Laan
(2004). Tree-based
multivariate regression and density estimation with
right-censored data. In S. Dudoit, R. C. Gentleman, and M. J. van
der Laan (eds), Multivariate Methods in Genomic Data
Analysis, Special Issue of Journal
of
Multivariate Analysis, Vol. 90, No. 1, p. 154-177. [Tech
report #135]
M. J. van der Laan, S. Dudoit, and S. Keles (2004). Asymptotic optimality of likelihood-based cross-validation. Statistical Applications in Genetics and Molecular Biology, Vol. 3, No. 1, Article 4. [Journal website] [Tech report #125]
2003
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. Keles, M. J. van der Laan, S. Dudoit, B. Xing, and M. B. Eisen (2003). Supervised detection of regulatory motifs in DNA sequences. Statistical Applications in Genetics and Molecular Biology, Vol. 2, No. 1, Article 5. [Journal website] [Tech report #131]
Y. Ge, S. Dudoit, and T. P. Speed (2003). Resampling-based multiple testing for microarray data analysis. TEST, Vol. 12, No. 1, p. 1-44 (plus discussion p. 44-77). [PDF] [Tech report #633]
S. Dudoit, J. P. Shaffer, and J. C. Boldrick (2003). Multiple hypothesis testing in microarray experiments. Statistical Science, Vol. 18, No. 1, p. 71-103. [PDF] [Project Euclid] [Tech report #110]
S. Dudoit and J. Fridlyand (2003). Bagging to improve the accuracy of a clustering procedure. Bioinformatics, Vol. 19, No. 9, p. 1090-1099. [Journal website] [Tech report #600]
S. Dudoit, R. C. Gentleman,
and J. Quackenbush (2003).
Open
source tools for microarray analysis. Biotechniques Supplements,
Microarrays and Cancer: Research and Applications, p. 45-51. [Journal website]
S.
Dudoit and D. R.
Goldstein (2003). Extensions to a score test for genetic linkage
with identity by descent data. In D. R. Goldstein (ed), Science and Statistics: A Festschrift for
Terry Speed, Vol. 40 of Institute
of Mathematical Statistics, Lecture Notes-Monograph Series, p.
307-319.
2002
H. Y. Chang, J. T. Chi, S. Dudoit, C. Bondre, M. van de Rijn, D. Botstein, and P. O. Brown (2002). Diversity, topographic differentiation, and positional memory in human fibroblasts. Proc. Natl. Acad. Sci., Vol. 99, No. 20, p. 12877-12882. [Website companion]
S. Dudoit and J. Fridlyand (2002). A prediction-based resampling method to estimate the number of clusters in a dataset. Genome Biology , Vol. 3, No. 7, p. 0036.1-0036.21. [Journal website] [Tech report #600]
X. Chen, S. T. Cheung, S. So, S. T. Fan, C. Barry, J. Higgins, K.-M. Lai, J. Ji, S. Dudoit, I. O. L. Ng, M. van de Rijn, D. Botstein, and P. O. Brown (2002). Gene expression patterns in human liver cancers. Molecular Biology of the Cell, Vol. 13, No. 6, p. 1929-1939. [Website companion]
Y. H. Yang, M. J. Buckley, S. Dudoit, and T. P. Speed (2002). Comparison of methods for image analysis on cDNA microarray data. Journal of Computational and Graphical Statistics, Vol. 11, No. 1, p. 108-136. [Tech report #584]
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, Y. H. Yang, P. Luu, D. M. Lin, V. Peng, J. Ngai, and T. P. Speed (2002). Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation. Nucleic Acids Research, Vol. 30, No. 4, e15. [Journal website]
J. C. Boldrick, A. A. Alizadeh, M. Diehn, S. Dudoit, C. L. Liu, C. E. Belcher, D. Botstein, L. M. Staudt, P. O. Brown, and D. A. Relman (2002). Stereotyped and specific gene expression programs in human innate immune responses to bacteria. Proc. Natl. Acad. Sci., Vol. 99, No. 2, p. 972-977. [Website companion]
S. Dudoit, Y. H. Yang, T. P. Speed, and M. J. Callow (2002). Statistical methods for identifying differentially expressed genes in replicated cDNA microarray experiments. Statistica Sinica, Vol. 12, No. 1, p. 111-139. [PDF] [Tech report #578]
2001
D. R. Goldstein, S. Dudoit, and T. P. Speed (2001). Power and robustness of a score test for linkage analysis of quantitative traits using identity by descent data on sib pairs. Genetic Epidemiology, Vol. 20, No. 4, p. 415-431. [Journal website]
2000
M. J. Callow, S. Dudoit, E. L. Gong, T. P. Speed, and E. M. Rubin (2000). Microarray expression profiling identifies genes with altered expression in HDL deficient mice. Genome Research, Vol. 10, No. 12, p. 2022-2029. [Journal website]
D. R. Goldstein, S. Dudoit, and T. P. Speed (2000). Power of a score test for quantitative trait linkage analysis of relative pairs. Genetic Epidemiology, Vol. 19(Suppl 1), p. S85-S91. [Journal website]
S. Dudoit and T. P. Speed (2000). A score test for the linkage analysis of qualitative and quantitative traits based on identity by descent data on sib-pairs. Biostatistics, Vol. 1, No. 1, p. 1-26. [Journal website] [Tech report #556]
1999
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]
S. Dudoit and T. P. Speed
(1999). Triangle constraints
for sib-pair
identity by descent probabilities under a general multilocus model for
disease susceptibility. In M. E. Halloran and S. Geisser (eds), Statistics
in Genetics, Vol. 112 of IMA Volumes in Mathematics and its
Applications, Springer, New York, p. 181-221. [Springer
website] [Tech
report #527]
K. S. Pollard, S. Dudoit,
and M. J. van der Laan (2005). Multiple testing procedures: the multtest
package and
applications to genomics. In R. C. Gentleman, V. J. Carey, W.
Huber, R. Irizarry, and S. Dudoit
(eds), Bioinformatics and
Computational Biology
Solutions Using R and Bioconductor, Springer, New York,
Chapter 15, p. 249-271. [Tech report #164]
[Bioconductor R package multtest]
R. Gentleman, B. Ding, S. Dudoit, and J. Ibrahim (2005). Distance measures in DNA microarray data analysis. In R. C. Gentleman, V. J. Carey, W. Huber, R. Irizarry, and S. Dudoit (eds), Bioinformatics and Computational Biology Solutions Using R and Bioconductor, Springer, New York, Chapter 12, p. 189-208.
S. Dudoit and M. J. van der Laan (2003). Unified cross-validation methodology for estimator selection and applications to genomics. Bulletin of the International Statistical Institute, 54th Session Proceedings, Vol. LX, Book 2, p. 412-415. [PDF] [ISI website, IPM-76: Gene expression data]
S. Dudoit and Y. H. Yang
(2003). Bioconductor R
packages for exploratory
analysis and normalization of cDNA microarray data. In G. Parmigiani,
E.
S. Garrett, R. A. Irizarry and S. L. Zeger (eds), The Analysis
of
Gene Expression Data: Methods and Software, Springer, New York,
p. 73-101.
[Table of contents]
[Rnw]
[PDF]
S. Dudoit and J. Fridlyand (2003). Classification in microarray experiments. In T. P. Speed (ed), Statistical Analysis of Gene Expression Microarray Data, Chapman & Hall/CRC, Chapter 3, p. 93-158.
S. Dudoit and J. Fridlyand (2003). Introduction to classification in microarray experiments. In D. P. Berrar, W. Dubitzky, and M. Granzow (eds), A Practical Approach to Microarray Data Analysis, Kluwer, Chapter 7, p. 132-149.
S. Dudoit, Y. H. Yang, P. Luu, and T. P. Speed (2001). Normalization for cDNA microarray data. In M. L. Bittner, Y. Chen, A. N. Dorsel, and E. R. Dougherty (eds), Microarrays: Optical Technologies and Informatics, Vol. 4266 of Proceedings of SPIE, p. 141-152. [Tech report #589]