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- Title
A simple and efficient algorithm for gene selection using sparse logistic regression.
- Authors
Shevade, S K; Keerthi, S S
- Abstract
This paper gives a new and efficient algorithm for the sparse logistic regression problem. The proposed algorithm is based on the Gauss-Seidel method and is asymptotically convergent. It is simple and extremely easy to implement; it neither uses any sophisticated mathematical programming software nor needs any matrix operations. It can be applied to a variety of real-world problems like identifying marker genes and building a classifier in the context of cancer diagnosis using microarray data.
- Publication
Bioinformatics (Oxford, England), 2003, Vol 19, Issue 17, p2246
- ISSN
1367-4803
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/btg308