Integrative data analysis for functional prediction: a multi-objective optimization approach

F Azuaje

doi:10.1093/bioinformatics/bti272

Integrative data analysis for functional prediction: a multi-objective optimization approach

Bioinformatics. 2005 May 1;21(9):2099-100. doi: 10.1093/bioinformatics/bti272. Epub 2005 Jan 18.

Author

F Azuaje¹

Affiliation

¹ School of Computing and Mathematics, University of Ulster, Jordanstown, UK.

PMID: 15657100
DOI: 10.1093/bioinformatics/bti272

Abstract

An integrative classification system for functional genomics is introduced. A comparison with a previous study of the yeast mitochondrial proteome is presented.

Availability: A demonstration prototype, interSearch, is available on request.

Supplementary information: http://ijsr32.infj.ulster.ac.uk/~e10110731/interSearch.

MeSH terms

Algorithms*
Computer Simulation
Gene Expression Profiling / methods*
Mitochondrial Proteins / chemistry
Mitochondrial Proteins / metabolism*
Models, Biological*
Proteins / chemistry
Proteins / metabolism*
Proteome / chemistry*
Proteome / metabolism*
Sequence Analysis, Protein / methods*
Structure-Activity Relationship
Systems Integration

Substances

Mitochondrial Proteins
Proteins
Proteome