Constrained fisher scores derived from interaction profile hidden markov models improve protein to protein interaction prediction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5462 LNBI, Issue , 2009, Pages 236-247

  González, Alvaro J ^a   Liao, Li ^a  

^a UNIVERSITY OF DELAWARE   (United States)

Author keywords

3DID; Domains; Hidden markov models; Protein protein interaction; Support vector machines

Indexed keywords

3DID; CELLULAR FUNCTION; CROSS VALIDATION; DOMAINS; FISHER SCORE; INTERACTION PROFILES; MODEL PARAMETERS; MODEL STATE; POSTERIOR PROBABILITY; PREDICTION ACCURACY; PROTEIN TO PROTEIN INTERACTIONS; PROTEIN-PROTEIN INTERACTION; PROTEIN-PROTEIN INTERACTIONS;

BIOINFORMATICS; BIOLOGY; COMPUTATIONAL GRAMMARS; COMPUTATIONAL METHODS; IMAGE RETRIEVAL; MULTILAYER NEURAL NETWORKS; OBJECT RECOGNITION; SUPPORT VECTOR MACHINES; VITERBI ALGORITHM;

HIDDEN MARKOV MODELS;

EID: 68249107547     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-00727-9_23     Document Type: Conference Paper

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