High precision multi-genome scale reannotation of enzyme function by EFICAz
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* Corresponding author: Jeffrey Skolnick skolnick@gatech.edu
- † Equal contributors
BMC Genomics 2006, 7:315 doi:10.1186/1471-2164-7-315
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BioMed Central: 2 citations
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Methodology article
EFICAz2: enzyme function inference by a combined approach enhanced by machine learning Adrian K Arakaki, Ying Huang, Jeffrey Skolnick BMC Bioinformatics 2009, 10:107 (13 April 2009) |
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Research
Identification of metabolites with anticancer properties by computational metabolomics Adrian K Arakaki, Roman Mezencev, Nathan J Bowen, Ying Huang, John F McDonald, Jeffrey Skolnick Molecular Cancer 2008, 7:57 (17 June 2008) The fully automated computational metabolomics method CoMet examined metabolite levels in cancer cells and provides evidence that intracellular concentrations of antiproliferative metabolites may be decreased in these cells.
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