746 search results - page 58 / 150 » Clustering of Gene Expression Data: Performance and Similari... |
RECOMB
2001
Springer
15 years 10 months ago
2001
Springer
Recent studies (Alizadeh et al, [1]; Bittner et al,[5]; Golub et al, [11]) demonstrate the discovery of putative disease subtypes from gene expression data. The underlying computa...
PR
2008
14 years 9 months ago
2008
Clustering in gene expression data sets is a challenging problem. Different algorithms for clustering of genes have been proposed. However due to the large number of genes only a ...
KDD
2003
ACM
15 years 10 months ago
2003
ACM
We introduce a novel data mining technique for the analysis of gene expression. Gene expression is the effective production of the protein that a gene encodes. We focus on the cha...
BMCBI
2006
14 years 9 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...
ISMB
2000
14 years 11 months ago
2000
The immensevolumeof data resulting from DNAmicroarray experiments, accompaniedby an increase in the numberof publications discussing gene-related discoveries, presents a majordata...