Bayesian methods for predicting interacting protein pairs using domain information

Biometrics

Volumn 63, Issue 3, 2007, Pages 824-833

  Kim, Inyoung ^a   Liu, Yin ^b   Zhao, Hongyu ^a  

^a YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b YALE UNIVERSITY   (United States)

Author keywords

Bayesian method; Domain domain interaction; Expectation maximization algorithm; Protein protein interaction

Indexed keywords

BAYESIAN NETWORKS; CELL PROLIFERATION; IMAGE SEGMENTATION; MAXIMUM PRINCIPLE; MEAN SQUARE ERROR; THROUGHPUT;

BAYESIAN METHODS; CELL CYCLE; CELLULAR PROCESS; DOMAIN INFORMATIONS; DOMAIN-DOMAIN INTERACTIONS; EXPECTATIONS MAXIMIZATION ALGORITHMS; LARGE-SCALES; PROTEIN INTERACTION; PROTEIN-PROTEIN INTERACTIONS; STATISTICAL APPROACH;

PROTEINS;

ALGORITHM; BAYESIAN ANALYSIS; BIOINFORMATICS; DOMAIN STRUCTURE; PROTEIN;

ALGORITHM; ARTICLE; BAYES THEOREM; PROBABILITY; PROTEIN DOMAIN; PROTEIN INTERACTION; STATISTICAL MODEL;

EID: 34548440848     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2007.00755.x     Document Type: Article

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