# HG changeset patch
# User bshanks@bshanks.dyndns.org
# Date 1240183450 25200
# Node ID f1f92feb32300da86a4b88206e088e9009e5df1f
# Parent  54ac7984b164efc91598183cb8d132acd80b633a
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 combinatorially.
 Feature selection integrated with prediction As noted earlier, in general, any predictive method can be used for
 feature selection by running it inside a stepwise wrapper. Also, some predictive methods integrate soft constraints on number
-of features used. Examples of both of these will be seen in the section “Locating areas with gene expression”.
-Locating areas with gene expression
+of features used. Examples of both of these will be seen in the section “Multivariate Predictive methods”.
+Multivariate Predictive methods
 Forward stepwise logistic regression As a pilot run, for five cortical areas (SS, AUD, RSP, VIS, and MO), we performed
 forward stepwise logistic regression to find single genes, pairs of genes, and triplets of genes which predict areal identify.
 This is an example of feature selection integrated with prediction using a stepwise wrapper. Some of the single genes found
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