Background: The ever-expanding population of gene expression profiles (EPs) from specified cells and tissues under a variety of experimental conditions is an important but difficu...
Jason M. Doherty, Lynn K. Carmichael, Jason C. Mil...
The Gene Ontology Consortium built the Gene Ontology database (GO) to address the need for a common standard in naming genes and gene products. Using different names for the same ...
Getiria Onsongo, Hongwei Xie, Timothy J. Griffin, ...
The Gene Ontology (GO) resource can be used as a powerful tool to uncover the properties shared among, and specific to, a list of genes produced by high-throughput functional geno...
Sheng Zhong, Lu Tian, Cheng Li, Kai-Florian Storch...
Background: With the increased availability of high throughput data, such as DNA microarray data, researchers are capable of producing large amounts of biological data. During the...
Gene Ontology (GO) terms are often used to interpret the results of microarray experiments. The most common approach is to perform Fisher's exact tests to find gene sets anno...