Statistical Methods in Bioinformatics - Handouts.
Papers we will discuss on Mon March 31
- Molecular classification of multiple tumor types
Bioinformatics 2001 17: S316-S322.
- Gene Selection for Cancer Classification using Support Vector Machines
Guyon, Weston, Barnill, M.D., and Vapnik
- Support Vector Machine Classification of Microarray Gene Expression Data
Brown, Grundy, Lin, Cristianini, Sugnet, Ares,Jr., and Haussler
- Support vector machine classification and validation of cancer tissue
samples using microarray expression data
Terrence S. Furey 1,, Nello Cristianini 2, Nigel Duffy 1, David W.
Bednarski 3, Michl Schummer 3 and David Haussler 1
- Comparative Study on Feature Selection and Classification Methods Using
Gene Expression Profiles
Liu, Li, and Wong
- Classification of Multiple Cancer Types by Multicategory Support Vector
Machines Using Gene Expression Data
Lee, and C K Lee
- Multiclass cancer diagnosis using tumor gene expression signatures
Ramaswamy, Tamayo, Rifkin, Mukherjee, Yeang, Angelo, Ladd, Reich,
Latulippe, Mesirov, Poggio, Gerald, Loda, Lander, and Golub
- Engineering support vector machine kernels that recognize translation
initiation sites, A. Zien, G. Rätsch, S. Mika, B. Schölkopf, T. Lengauer, and K.-R. Müller
-
Knowledge-based analysis of microarray gene expression data by using support vector
machines. Michael P. S. Brown*, William Noble Grundy,, David Lin*, Nello Cristianini§, Charles Walsh Sugnet¶, Terrence S. Furey*, Manuel
Ares Jr.¶, and David Haussler*
- Identifying genes related to drug anticancer mechanisms using support
vector machine, Lei Bao, Zhirong Sun, FEBS Letters 521 (2002) 109-114.
- guyon
- Multiple testing 1 pdf
- Multiple testing 2pdf
- Clustering pdf
- Clustering 2pdf
- Clustering 3 pdf
- Geneshaving paperTechnical report 2000, Stanford university, Dept of Statistics. Hastie et al
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01/20/03