329 search results - page 29 / 66 » Combining microarrays and genetic analysis |
ICDAR
2003
IEEE
14 years 3 months ago
2003
IEEE
This paper presents a new technique to improve the combination of classification decisions obtained from local analysis of patterns. Specifically, a genetic algorithm is used to d...
BMCBI
2005
13 years 9 months ago
2005
Background: One of the primary tasks in analysing gene expression data is finding genes that are differentially expressed in different samples. Multiple testing issues due to the ...
BMCBI
2005
13 years 9 months ago
2005
Background: One important application of microarray experiments is to identify differentially expressed genes. Often, small and negative expression levels were clipped-off to be e...
BMCBI
2007
13 years 10 months ago
2007
Background: Many procedures for finding differentially expressed genes in microarray data are based on classical or modified t-statistics. Due to multiple testing considerations, ...
BMCBI
2006
13 years 10 months ago
2006
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...