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» Clustering Genes Using Heterogeneous Data Sources
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BMCBI
2010
116views more  BMCBI 2010»
13 years 11 months ago
FiGS: a filter-based gene selection workbench for microarray data
Background: The selection of genes that discriminate disease classes from microarray data is widely used for the identification of diagnostic biomarkers. Although various gene sel...
Taeho Hwang, Choong-Hyun Sun, Taegyun Yun, Gwan-Su...
BMCBI
2005
152views more  BMCBI 2005»
13 years 11 months ago
CoPub Mapper: mining MEDLINE based on search term co-publication
Background: High throughput microarray analyses result in many differentially expressed genes that are potentially responsible for the biological process of interest. In order to ...
Blaise T. F. Alako, Antoine Veldhoven, Sjozef van ...
NAR
2008
74views more  NAR 2008»
13 years 11 months ago
Gene Ontology annotations at SGD: new data sources and annotation methods
The Saccharomyces Genome Database (SGD; http:// www.yeastgenome.org/) collects and organizes biological information about the chromosomal features and gene products of the budding...
Eurie L. Hong, Rama Balakrishnan, Qing Dong, Karen...
BMCBI
2006
107views more  BMCBI 2006»
13 years 11 months ago
CROPPER: a metagene creator resource for cross-platform and cross-species compendium studies
Background: Current genomic research methods provide researchers with enormous amounts of data. Combining data from different high-throughput research technologies commonly availa...
Jussi Paananen, Markus Storvik, Garry Wong
BMCBI
2008
144views more  BMCBI 2008»
13 years 11 months ago
WGCNA: an R package for weighted correlation network analysis
Background: Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method ...
Peter Langfelder, Steve Horvath