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--- assignments:assignment5 [2015/10/30 12:53]
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+++ assignments:assignment5 [2015/10/31 09:03]
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 Due:  November 15th at 11pm
-In this assignment we will compare several feature selection methods on several datasets.
+In this assignment you will compare several feature selection methods on several datasets.
-The datasets we will use are the yeast gene expression dataset
+The first dataset is the [[https://archive.ics.uci.edu/ml/datasets/Arcene| Arcene]] dataset which was used in the 2003 NIPS feature selection competition.  The dataset is produced by mass spectrometry of biological samples that comes from different types of cancer.
+The second dataset describes the expression of human genes in two types of leukemia The original publication that describes the data:
+T. R. Golub, D. K. Slonim, P. Tamayo, C. Huard, M. Gaasenbeek, J. P. Mesirov, H. Coller, M. L. Loh, J. R. Downing, M. A. Caligiuri, C. D. Bloomfield, and E. S. Lander.
+[[https://www.broadinstitute.org/mpr/publications/projects/Leukemia/Golub_et_al_1999.pdf | Molecular classification of cancer: class discovery and class prediction by gene expression monitoring]].
+Science, 286(5439):531, 1999.
 ===== Part 1:  Filter methods =====
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 Do your results change if you do model selection for the resulting classifier over a grid of values for the soft margin constant $C$?
 ===== Submission =====

CS545 fall 2016