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BMCBI
2006
122views more  BMCBI 2006»
13 years 7 months ago
Genome comparison using Gene Ontology (GO) with statistical testing
Background: Automated comparison of complete sets of genes encoded in two genomes can provide insight on the genetic basis of differences in biological traits between species. Gen...
Zhaotao Cai, Xizeng Mao, Songgang Li, Liping Wei
BMCBI
2010
139views more  BMCBI 2010»
13 years 7 months ago
PoGO: Prediction of Gene Ontology terms for fungal proteins
Background: Automated protein function prediction methods are the only practical approach for assigning functions to genes obtained from model organisms. Many of the previously re...
Jaehee Jung, Gangman Yi, Serenella A. Sukno, Micha...
BMCBI
2008
102views more  BMCBI 2008»
13 years 7 months ago
Monitoring the evolutionary aspect of the Gene Ontology to enhance predictability and usability
Background: Much effort is currently made to develop the Gene Ontology (GO). Due to the dynamic nature of information it addresses, GO undergoes constant updates whose results are...
Jong C. Park, Tak-eun Kim, Jinah Park
BMCBI
2010
105views more  BMCBI 2010»
13 years 7 months ago
The Neural/Immune Gene Ontology: clipping the Gene Ontology for neurological and immunological systems
Background: The Gene Ontology (GO) is used to describe genes and gene products from many organisms. When used for functional annotation of microarray data, GO is often slimmed by ...
Nophar Geifman, Alon Monsonego, Eitan Rubin
CSB
2004
IEEE
173views Bioinformatics» more  CSB 2004»
13 years 11 months ago
Gene Ontology Friendly Biclustering of Expression Profiles
The soundness of clustering in the analysis of gene expression profiles and gene function prediction is based on the hypothesis that genes with similar expression profiles may imp...
Jinze Liu, Wei Wang 0010, Jiong Yang