241 search results - page 15 / 49 » Minimum Redundancy Feature Selection from Microarray Gene Ex... |
123
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BMCBI
2007
14 years 9 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
BMCBI
2004
14 years 9 months ago
2004
Background: One of the important challenges in microarray analysis is to take full advantage of previously accumulated data, both from one's own laboratory and from public re...
121
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JCB
2002
14 years 9 months ago
2002
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
118
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BMCBI
2011
14 years 4 months ago
2011
Background: In the last decades, microarray technology has spread, leading to a dramatic increase of publicly available datasets. The first statistical tools developed were focuse...
SAC
2004
ACM
15 years 3 months ago
2004
ACM
Gene clustering based on microarray data provides useful functional information to the working biologists. Many current gene-clustering algorithms rely on Euclidean-based distance...