Directed acyclic graph kernels for structural RNA analysis

BMC Bioinformatics

Volumn 9, Issue , 2008, Pages

  Sato, Kengo ^a,b,c   Mituyama, Toutai ^b   Asai, Kiyoshi ^b,d   Sakakibara, Yasubumi ^b,c  

^a Koto ku   (Japan)

^b NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

^c KEIO UNIVERSITY   (Japan)

^d UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION SPEED; DIRECTED ACYCLIC GRAPH (DAG); DIRECTED ACYCLIC GRAPHS; HIER-ARCHICAL CLUSTERING; INDIVIDUAL SEQUENCES; MULTIPLE ALIGNMENT; SECONDARY STRUCTURES; SIMILARITY MEASURE;

ALIGNMENT; GRAPH THEORY;

RNA;

UNTRANSLATED RNA;

ARTICLE; BASE PAIRING; CLUSTER ANALYSIS; CONTROLLED STUDY; KERNEL METHOD; MATHEMATICAL COMPUTING; PROBABILITY; PROTEIN SECONDARY STRUCTURE; RELIABILITY; RNA ANALYSIS; RNA SEQUENCE; RNA STRUCTURE; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS; STRUCTURAL BIOINFORMATICS; SUPPORT VECTOR MACHINE; CHEMICAL STRUCTURE; CHEMISTRY; CONFORMATION; METHODOLOGY; NUCLEOTIDE SEQUENCE; TECHNIQUE;

BASE PAIRING; BASE SEQUENCE; METHODS; MODELS, MOLECULAR; NUCLEIC ACID CONFORMATION; PROBABILITY; RNA, UNTRANSLATED; SEQUENCE ALIGNMENT;

EID: 49649096693     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-318     Document Type: Article

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