160 search results - page 25 / 32 » Inferring Gene Regulatory Networks by Machine Learning Metho... |
BMCBI
2007
13 years 7 months ago
2007
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
BMCBI
2010
13 years 7 months ago
2010
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...
RECOMB
2006
Springer
14 years 7 months ago
2006
Springer
Abstract. Transcriptional interactions in a cell are modulated by a variety of mechanisms that prevent their representation as pure pairwise interactions between a transcription fa...
BMCBI
2006
13 years 7 months ago
2006
Background: Microarray technology produces gene expression data on a genomic scale for an endless variety of organisms and conditions. However, this vast amount of information nee...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
In the paper we show that diagnostic classes in cancer gene expression data sets, which most often include thousands of features (genes), may be effectively separated with simple ...