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Documents Classification in Microarray Experiments Jane Fridlyand, UCSF Cancer Center CBMB Workshop, Nov 15,.....

Slide 1 Classification in Microarray Experiments Jane Fridlyand, UCSF Cancer Center CBMB Workshop, Nov 15, 2003 Slide 2 cDNA gene expression data Data on G genes for n samples…

Documents Discrimination Class web site: Statistics for Microarrays.

Slide 1 Discrimination Class web site: http://statwww.epfl.ch/davison/teaching/Microarrays/ETHZ/ Statistics for Microarrays Slide 2 Biological question Differentially expressed…

Documents SLIDES RECYCLED FROM ppt slides by Darlene Goldstein Supervised Learning, Classification,...

SLIDES RECYCLED FROM ppt slides by Darlene Goldstein http://statwww.epfl.ch/davison/teaching/Microarrays/ Supervised Learning, Classification, Discrimination Gene expression…

Documents 1 The goals: Select the “optimum” number l of features Select the “best” l features ...

The goals: Select the “optimum” number l of features Select the “best” l features Large l has a three-fold disadvantage: High computational demands Low generalization…

Documents Statistics for Microarrays

Discrimination Class web site: http://statwww.epfl.ch/davison/teaching/Microarrays/ETHZ/ Statistics for Microarrays Biological question Differentially expressed genes Sample…

Documents Supervised Learning, Classification, Discrimination

SLIDES RECYCLED FROM ppt slides by Darlene Goldstein http://statwww.epfl.ch/davison/teaching/Microarrays/ Supervised Learning, Classification, Discrimination Gene expression…

Documents Statistics for Microarray Data Analysis with R

Statistics for Microarray Data Analysis with R Session 8: Discrimination Class web site: http://ludwig-sun2.unil.ch/~darlene/ Today’s Outline Discrimination (classification)…

Documents The goals: Select the “optimum” number l of features Select the “best” l features

The goals: Select the “optimum” number l of features Select the “best” l features Large l has a three-fold disadvantage: High computational demands Low generalization…