1305 search results - page 12 / 261 » Clustering Genes Using Heterogeneous Data Sources |
DILS
2004
Springer
14 years 4 months ago
2004
Springer
Meaningfully integrating massive multi-experimental genomic data sets is becoming critical for the understanding of gene function. We have recently proposed methodologies for integ...
CSB
2005
IEEE
14 years 4 months ago
2005
IEEE
There is a diversity of functional genomics data, such as gene expression data from microarray experiments, phenotypic data from gene deletion experiments, protein-protein interac...
CSB
2005
IEEE
14 years 4 months ago
2005
IEEE
Scientists face an ever-increasing challenge in investigating biological systems with high throughput experimental methods such as mass spectrometry and gene arrays because of the...
TKDE
2010
13 years 5 months ago
2010
Coclustering heterogeneous data has attracted extensive attention recently due to its high impact on various important applications, such us text mining, image retrieval, and bioin...
BMCBI
2008
13 years 11 months ago
2008
Background: A typical step in the analysis of gene expression data is the determination of clusters of genes that exhibit similar expression patterns. Researchers are confronted w...