161 search results - page 22 / 33 » Learning Rough Set Classifiers from Gene Expressions and Cli... |
BMCBI
2007
14 years 9 months ago
2007
Background: There is a large amount of microarray data accumulating in public databases, providing various data waiting to be analyzed jointly. Powerful kernel-based methods are c...
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AINA
2008
IEEE
15 years 4 months ago
2008
IEEE
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
APBC
2003
14 years 11 months ago
2003
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...
BMCBI
2007
14 years 9 months ago
2007
Background: A microarray study may select different differentially expressed gene sets because of different selection criteria. For example, the fold-change and p-value are two co...
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Selection of genes that are differentially expressed and critical to a particular biological process has been a major challenge in post-array analysis. Recent development in bioin...