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Volumn 7, Issue 5, 2010, Pages 927-932

Implementation of a Classification-Based Prediction Model for Plant mRNA Poly(A) Sites

Author keywords

Nucleotide Sequences.; Polyadenylation; RNA

Indexed keywords

ANIMAL DATA; CLASSIFICATION ALGORITHM; EUKARYOTIC GENE EXPRESSION; FACTORIAL MOMENTS; FEATURE REPRESENTATION; GENOME SEQUENCES; MESSENGER RNAS (MRNA); NUCLEOTIDE SEQUENCES; POLYADENYLATION; PREDICTION MODEL; RECOGNITION MODELS; SIGNAL PATTERNS; TRAINING AND TESTING; WEAK SIGNALS;

EID: 77954450278     PISSN: 15461955     EISSN: None     Source Type: Journal    
DOI: 10.1166/jctn.2010.1440     Document Type: Conference Paper
Times cited : (4)

References (14)
  • 11
    • 10044280127 scopus 로고    scopus 로고
    • An in-silico method for prediction of polyadenylation signals in human sequences
    • H. Liu, H. Han, J. Li, and L. Wong, An in-silico method for prediction of polyadenylation signals in human sequences, Genome Inform Ser Workshop Genome Inform (2003), . 14, 84-83.
    • (2003) Genome Inform ser Workshop Genome Inform , vol.14 , pp. 84-83
    • Liu, H.1    Han, H.2    Li, J.3    Wong, L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.