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(Reference retrieved automatically from Google Scholar through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A machine learning approach for genome-wide prediction of morbid and druggable human genes based on systems-level data

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Costa‚ P.R. ; Acencio‚ M.L. ; Lemke‚ N.
Total Authors: 3
Document type: Journal article
Source: BMC Genomics; v. 11, n. Suppl 5, p. S9, 2010.
FAPESP's process: 07/02827-9 - Characterization and simulation of biological networks
Grantee:Ney Lemke
Support Opportunities: Regular Research Grants
FAPESP's process: 07/01213-7 - In silico construction of integrated molecular networks encompassing cell cycle regulation by extracellular matrix adhesion in Homo sapiens
Grantee:Marcio Luis Acencio
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 07/08466-8 - Construction and analysis of the molecular integrated network of human genes
Grantee:Pedro Rafael Costa
Support Opportunities: Scholarships in Brazil - Scientific Initiation