Self-organizing neural networks to support the discovery of DNA-binding motifs

Neural Networks

Volumn 19, Issue 6-7, 2006, Pages 950-962

  Mahony, Shaun ^a,b   Benos, Panayiotis V ^a,c   Smith, Terry J ^d   Golden, Aaron ^d  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b University of Pittsburgh   (United States)

^c UNIVERSITY OF PITTSBURGH CANCER INSTITUTE   (United States)

^d NATIONAL UNIVERSITY OF IRELAND   (Ireland)

Author keywords

DNA binding motif identification; Self organizing map; Self organizing tree

Indexed keywords

DNA; GENETIC ENGINEERING; LEARNING SYSTEMS; SELF ORGANIZING MAPS; TREES (MATHEMATICS);

BIOINFORMATICS; DNA-BINDING MOTIF IDENTIFICATION; SELF-ORGANIZING TREE;

NEURAL NETWORKS;

DNA;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; DNA BINDING MOTIF; NONHUMAN; PERFORMANCE; PRIORITY JOURNAL; SCORING SYSTEM; SELF ORGANIZING MAP; TECHNIQUE;

ALGORITHMS; AMINO ACID MOTIFS; ANIMALS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; DNA; HUMANS; MOLECULAR SEQUENCE DATA; NEURAL NETWORKS (COMPUTER); PROTEIN STRUCTURE, TERTIARY; SEQUENCE ANALYSIS, DNA;

EID: 33746710972     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2006.05.023     Document Type: Article

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