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BIBM
2008
IEEE
217views Bioinformatics» more  BIBM 2008»
10 years 7 months ago
Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction
The study of gene function is critical in various genomic and proteomic fields. Due to the availability of tremendous amounts of different types of protein data, integrating thes...
Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon ...
BIODATAMINING
2008
135views more  BIODATAMINING 2008»
10 years 1 months ago
Fast Gene Ontology based clustering for microarray experiments
Background: Analysis of a microarray experiment often results in a list of hundreds of diseaseassociated genes. In order to suggest common biological processes and functions for t...
Kristian Ovaska, Marko Laakso, Sampsa Hautaniemi
BMCBI
2007
166views more  BMCBI 2007»
10 years 1 months ago
How to decide which are the most pertinent overly-represented features during gene set enrichment analysis
Background: The search for enriched features has become widely used to characterize a set of genes or proteins. A key aspect of this technique is its ability to identify correlati...
Roland Barriot, David J. Sherman, Isabelle Dutour
BMCBI
2007
123views more  BMCBI 2007»
10 years 1 months ago
GO for gene documents
Annotating genes and their products with Gene Ontology codes is an important area of research. One approach for doing this is to use the information available about these genes in...
Padmini Srinivasan, Xin Ying Qiu
BMCBI
2006
108views more  BMCBI 2006»
10 years 1 months ago
Gene function classification using Bayesian models with hierarchy-based priors
We investigate the application of hierarchical classification schemes to the annotation of gene function based on several characteristics of protein sequences including phylogenic ...
Babak Shahbaba, Radford M. Neal
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