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Volumn 31, Issue 4, 2001, Pages 468-475

DNA sequence classification via an expectation maximization algorithm and neural networks: A case study

Author keywords

Bayesian inference; Bioinformatics; Data mining; Expectation maximization (EM); Neural networks (NNs); Promoter recognition

Indexed keywords

ALGORITHMS; BIOCHEMISTRY; DATA MINING; DNA SEQUENCES; ENCODING (SYMBOLS); ESCHERICHIA COLI; INFERENCE ENGINES; NEURAL NETWORKS; PROBABILITY DISTRIBUTIONS;

EID: 0035521109     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/5326.983930     Document Type: Article
Times cited : (43)

References (33)
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  • 12
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    • (1999) Bioinformatics , vol.15 , Issue.5 , pp. 356-361
    • Knudsen, S.1
  • 26
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    • Computer methods to locate signals in nucleic acid sequences
    • (1984) Nucl. Acids Res. , vol.12 , Issue.1 , pp. 505-519
    • Staden, R.1
  • 32
    • 0031283308 scopus 로고    scopus 로고
    • Artificial neural networks for molecular sequence analysis
    • (1997) Comput. Chem. , vol.21 , Issue.4 , pp. 237-256
    • Wu, C.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.