541 search results - page 41 / 109 » Incorporating Gene Ontology in Clustering Gene Expression Da... |
BMCBI
2005
13 years 8 months ago
2005
Background: High throughput methods of the genome era produce vast amounts of data in the form of gene lists. These lists are large and difficult to interpret without advanced com...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
In many applications, the expert interpretation of coclustering is easier than for mono-dimensional clustering. Co-clustering aims at computing a bi-partition that is a collection...
IJDMB
2008
13 years 8 months ago
2008
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
ADMA
2009
Springer
14 years 2 months ago
2009
Springer
It is of high biomedical interest to identify gene interactions and networks that are associated with developmental and physiological functions in the mouse embryo. There are now v...
BMCBI
2005
13 years 8 months ago
2005
Background: Microarray analysis has become a widely used technique for the study of geneexpression patterns on a genomic scale. As more and more laboratories are adopting microarr...