1190 search results - page 107 / 238 » Analysis of Variance for Gene Expression Microarray Data |
132
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NIPS
2004
15 years 7 months ago
2004
We propose a "soft greedy" learning algorithm for building small conjunctions of simple threshold functions, called rays, defined on single real-valued attributes. We al...
118
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BMCBI
2008
15 years 6 months ago
2008
Background: A primary reason for using two-color microarrays is that the use of two samples labeled with different dyes on the same slide, that bind to probes on the same spot, is...
150
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HICSS
2002
IEEE
15 years 11 months ago
2002
IEEE
Currently, the cDNA and genomic sequence projects are processing at such a rapid rate that more and more gene data become available. New methods are needed to efficiently and eff...
186
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BMCBI
2006
15 years 6 months ago
2006
Background: The goal of most microarray studies is either the identification of genes that are most differentially expressed or the creation of a good classification rule. The dis...
148
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DMKD
2003
ACM
15 years 11 months ago
2003
ACM
We analyze expression matrices to identify a priori interesting sets of genes, e.g., genes that are frequently co-regulated. Such matrices provide expression values for given biol...