Protein and gene model inference based on statistical modeling in k-partite graphs

Proceedings of the National Academy of Sciences of the United States of America

Volumn 107, Issue 27, 2010, Pages 12101-12106

  Gerster, Sarah ^a   Qeli, Ermir ^b   Ahrens, Christian H ^b   Bühlmann, Peter ^a,c  

^a ETH ZURICH   (Switzerland)

^b UNIVERSITY OF ZURICH   (Switzerland)

^c Competence Center for Systems Physiology and Metabolic Diseases ^*  (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

PEPTIDE; PROTEIN;

ARABIDOPSIS; ARTICLE; DROSOPHILA MELANOGASTER; HUMAN; K PARTITE GRAPH; MARKOVIAN INFERENCE OF PROTEINS AND GENE MODELS; MAXIMUM LIKELIHOOD METHOD; PRIORITY JOURNAL; PROBABILITY; PROTEIN DATABASE; PROTEIN INFERENCE; PROTEOMICS; SACCHAROMYCES CEREVISIAE; STATISTICAL MODEL; VALIDATION PROCESS;

ALGORITHMS; ANIMALS; ARABIDOPSIS PROTEINS; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; DROSOPHILA PROTEINS; MARKOV CHAINS; MODELS, STATISTICAL; PEPTIDES; PROTEINS; PROTEOME; PROTEOMICS; REPRODUCIBILITY OF RESULTS; SACCHAROMYCES CEREVISIAE PROTEINS;

ARABIDOPSIS THALIANA; DROSOPHILA MELANOGASTER; SACCHAROMYCES CEREVISIAE;

EID: 77955463487     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.0907654107     Document Type: Article

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