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NIPS
2000
13 years 11 months ago
Feature Selection for SVMs
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
Jason Weston, Sayan Mukherjee, Olivier Chapelle, M...
BMCBI
2004
174views more  BMCBI 2004»
13 years 9 months ago
SeeGH - A software tool for visualization of whole genome array comparative genomic hybridization data
Background: Array comparative genomic hybridization (CGH) is a technique which detects copy number differences in DNA segments. Complete sequencing of the human genome and the dev...
Bryan Chi, Ronald J. deLeeuw, Bradley P. Coe, Calu...
GECCO
2000
Springer
123views Optimization» more  GECCO 2000»
14 years 1 months ago
Genomic computing: explanatory modelling for functional genomics
Many newly discovered genes are of unknown function. DNA microarrays are a method for determining the expression levels of all genes in an organism for which a complete genome seq...
Richard J. Gilbert, Jem J. Rowland, Douglas B. Kel...
RECOMB
2001
Springer
14 years 10 months ago
Fast recovery of evolutionary trees with thousands of nodes
We present a novel distance-based algorithm for evolutionary tree reconstruction. Our algorithm reconstructs the topology of a tree with n leaves in O(n2 ) time using O(n) working...
Miklós Csürös
JCB
2000
103views more  JCB 2000»
13 years 9 months ago
Testing for Differentially-Expressed Genes by Maximum-Likelihood Analysis of Microarray Data
Although two-color uorescent DNA microarrays are now standard equipment in many molecular biology laboratories, methods for identifying differentially expressed genes in microarra...
Trey Ideker, Vesteinn Thorsson, Andrew F. Siegel, ...