cg
changeset 65:f1f92feb3230
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author | bshanks@bshanks.dyndns.org |
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date | Sun Apr 19 16:24:10 2009 -0700 (16 years ago) |
parents | 54ac7984b164 |
children | f14c34563ff8 |
files | grant.doc grant.html grant.odt grant.pdf |
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2.4 combinatorially.
2.5 Feature selection integrated with prediction As noted earlier, in general, any predictive method can be used for
2.6 feature selection by running it inside a stepwise wrapper. Also, some predictive methods integrate soft constraints on number
2.7 -of features used. Examples of both of these will be seen in the section “Locating areas with gene expression”.
2.8 -Locating areas with gene expression
2.9 +of features used. Examples of both of these will be seen in the section “Multivariate Predictive methods”.
2.10 +Multivariate Predictive methods
2.11 Forward stepwise logistic regression As a pilot run, for five cortical areas (SS, AUD, RSP, VIS, and MO), we performed
2.12 forward stepwise logistic regression to find single genes, pairs of genes, and triplets of genes which predict areal identify.
2.13 This is an example of feature selection integrated with prediction using a stepwise wrapper. Some of the single genes found
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