782 search results - page 46 / 157 » Combined Gene Selection Methods for Microarray Data Analysis |
142
Voted
BMCBI
2004
15 years 2 months ago
2004
Background: Two or more factor mixed factorial experiments are becoming increasingly common in microarray data analysis. In this case study, the two factors are presence (Patients...
114
Voted
COCOON
2005
Springer
15 years 8 months ago
2005
Springer
The complexity, approximation and algorithmic issues of several clustering problems are studied. These non-traditional clustering problems arise from recent studies in microarray ...
134
click to vote
AIME
2009
Springer
15 years 6 months ago
2009
Springer
This paper empirically compares six background correction methods aimed at removing unspecific background noise of the overall signal level measured by a scanner across microarrays...
111
Voted
ISNN
2005
Springer
15 years 8 months ago
2005
Springer
It is important in bioinformatics research and applications to select or discover informative genes of a tumor from microarray data. However, most of the existing methods are based...
145
click to vote
BMCBI
2010
15 years 2 months ago
2010
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...