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» The Gene Ontology project in 2008
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BMCBI
2008
102views more  BMCBI 2008»
13 years 7 months ago
Response projected clustering for direct association with physiological and clinical response data
Background: Microarray gene expression data are often analyzed together with corresponding physiological response and clinical metadata of biological subjects, e.g. patients'...
Sung-Gon Yi, Taesung Park, Jae K. Lee
BMCBI
2008
119views more  BMCBI 2008»
13 years 7 months ago
Gene Ontology density estimation and discourse analysis for automatic GeneRiF extraction
Background: This paper describes and evaluates a sentence selection engine that extracts a GeneRiF (Gene Reference into Functions) as defined in ENTREZ-Gene based on a MEDLINE rec...
Julien Gobeill, Imad Tbahriti, Frédé...
BMCBI
2008
163views more  BMCBI 2008»
13 years 7 months ago
Gene Ontology term overlap as a measure of gene functional similarity
Background: The availability of various high-throughput experimental and computational methods allows biologists to rapidly infer functional relationships between genes. It is oft...
Meeta Mistry, Paul Pavlidis
MIE
2008
116views Healthcare» more  MIE 2008»
13 years 8 months ago
Gene Regulation Ontology (GRO): Design Principles and Use Cases
The Gene Regulation Ontology (GRO) is designed as a novel approach to model complex events that are part of the gene regulatory processes. We introduce the design requirements for ...
Elena Beisswanger, Vivian Lee, Jung-jae Kim, Dietr...
ICPR
2008
IEEE
14 years 1 months ago
A fuzzy c-means algorithm using a correlation metrics and gene ontology
A fuzzy c-means algorithm was adapted for analyzing microarray data. The adaptation consisted of initialization of fuzzy centroids using gene ontology information and the use of P...
Mingrui Zhang, Terry M. Therneau, Michael A. McKen...