696 search results - page 104 / 140 » ICA-based Clustering of Genes from Microarray Expression Dat... |
ALIFE
2008
13 years 7 months ago
2008
The development of structure-learning algorithms for gene regulatory networks depends heavily on the availability of synthetic data sets that contain both the original network and ...
JCP
2006
13 years 8 months ago
2006
Most Gene Regulatory Network (GRN) studies ignore the impact of the noisy nature of gene expression data despite its significant influence upon inferred results. This paper present...
NAR
2002
13 years 7 months ago
2002
The Kyoto Encyclopedia of Genes and Genomes (KEGG) is the primary database resource of the Japanese GenomeNet service (http://www.genome.ad.jp/) for understanding higher order fun...
BMCBI
2010
2010
The IronChip evaluation package: a package of perl modules for robust analysis of custom microarrays
13 years 8 months ago
Background: Gene expression studies greatly contribute to our understanding of complex relationships in gene regulatory networks. However, the complexity of array design, producti...
GFKL
2005
Springer
14 years 1 months ago
2005
Springer
Mixture models represent results of gene expression cluster analysis in a more natural way than ’hard’ partitions. This is also true for the representation of gene labels, such...