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» Memetic Algorithms for Feature Selection on Microarray Data
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ICML
2001
IEEE
16 years 1 months ago
Feature selection for high-dimensional genomic microarray data
We report on the successful application of feature selection methods to a classification problem in molecular biology involving only 72 data points in a 7130 dimensional space. Ou...
Eric P. Xing, Michael I. Jordan, Richard M. Karp
121
Voted
BMCBI
2006
146views more  BMCBI 2006»
15 years 12 days ago
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Satoshi Niijima, Satoru Kuhara
83
Voted
CSB
2003
IEEE
15 years 5 months ago
Minimum Redundancy Feature Selection from Microarray Gene Expression Data
Chris H. Q. Ding, Hanchuan Peng
BMCBI
2010
115views more  BMCBI 2010»
15 years 14 days ago
Assessment and optimisation of normalisation methods for dual-colour antibody microarrays
Background: Recent advances in antibody microarray technology have made it possible to measure the expression of hundreds of proteins simultaneously in a competitive dual-colour a...
Martin Sill, Christoph Schroder, Jörg D. Hohe...