메뉴 건너뛰기




Volumn 34, Issue 2, 2011, Pages 353-360

Rules extraction from neural networks applied to the prediction and recognition of prokaryotic promoters

Author keywords

Neural network; Promoter; Rule extraction

Indexed keywords

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONSENSUS SEQUENCE; CONTROLLED STUDY; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; GENE SEQUENCE; NUCLEOTIDE SEQUENCE; PREDICTION; PROKARYOTE; PROMOTER REGION; SENSITIVITY AND SPECIFICITY; SIMULATION;

EID: 79957921296     PISSN: 14154757     EISSN: 16784685     Source Type: Journal    
DOI: 10.1590/S1415-47572011000200031     Document Type: Article
Times cited : (13)

References (23)
  • 1
    • 0029484103 scopus 로고
    • A survey and critique of techniques for extracting rules from trained artificial neural networks
    • Andrews R, Diederich J and Tickle AB (1995) A survey and critique of techniques for extracting rules from trained artificial neural networks. Knowledge-Based Syst 6:373-389.
    • (1995) Knowledge-Based Syst , vol.6 , pp. 373-389
    • Andrews, R.1    Diederich, J.2    Tickle, A.B.3
  • 2
    • 15844412591 scopus 로고    scopus 로고
    • Improving promoter prediction for the NNPP2.2 algorithm: A case study using Esch-erichia coli DNA sequences
    • Burden S, Lin Y-X and Zhang R (2005) Improving promoter prediction for the NNPP2.2 algorithm: A case study using Esch-erichia coli DNA sequences. Bioinformatics 21:601-607.
    • (2005) Bioinformatics , vol.21 , pp. 601-607
    • Burden, S.1    Lin, Y.-X.2    Zhang, R.3
  • 4
    • 15344349017 scopus 로고    scopus 로고
    • A hybrid promoter analysis methodology for prokaryotic genomes
    • Cotik V, Zaliz RR and Zwir I (2005) A hybrid promoter analysis methodology for prokaryotic genomes. Fuzzy Sets Syst 1:83-102.
    • (2005) Fuzzy Sets Syst , vol.1 , pp. 83-102
    • Cotik, V.1    Zaliz, R.R.2    Zwir, I.3
  • 5
    • 0025853156 scopus 로고
    • Neural network optimization for E. coli promoter prediction
    • Demeler B and Zhou G (1991) Neural network optimization for E. coli promoter prediction. Nucleic Acids Res 19:1593-1599.
    • (1991) Nucleic Acids Res , vol.19 , pp. 1593-1599
    • Demeler, B.1    Zhou, G.2
  • 8
    • 0345724915 scopus 로고    scopus 로고
    • Evolutionary computation method for pattern recognition of cis-acting sites
    • Howard D and Benson K (2002) Evolutionary computation method for pattern recognition of cis-acting sites. BioSystems 72:19-27.
    • (2002) BioSystems , vol.72 , pp. 19-27
    • Howard, D.1    Benson, K.2
  • 10
    • 0344081940 scopus 로고    scopus 로고
    • Artificial neural networks for prediction of mycobacterial promoter sequences
    • Kalate R, Tambe SS and Kulkarni B (2003) Artificial neural networks for prediction of mycobacterial promoter sequences. Comput Biol Chem 27:555-564.
    • (2003) Comput Biol Chem , vol.27 , pp. 555-564
    • Kalate, R.1    Tambe, S.S.2    Kulkarni, B.3
  • 11
    • 20344396385 scopus 로고    scopus 로고
    • Structural properties of promoters: Similarities and differences between prokaryotes and eukaryotes
    • Kanhere A and Bansal M (2005a) Structural properties of promoters: Similarities and differences between prokaryotes and eukaryotes. Nucleic Acids Res 33:3165-3175.
    • (2005) Nucleic Acids Res , vol.33 , pp. 3165-3175
    • Kanhere, A.1    Bansal, M.2
  • 12
    • 13244287791 scopus 로고    scopus 로고
    • A novel method for prokaryotic promoter prediction based on DNA stability
    • Kanhere A and Bansal M (2005b) A novel method for prokaryotic promoter prediction based on DNA stability. BMC Bioin-formatics 6:1471-2105.
    • (2005) BMC Bioin-formatics , vol.6 , pp. 1471-2105
    • Kanhere, A.1    Bansal, M.2
  • 13
    • 79957921118 scopus 로고    scopus 로고
    • Genes IX. Artmed, Porto Alegre
    • Lewin B (2008) Genes IX. Artmed, Porto Alegre, 955 pp.
    • (2008) , pp. 955
    • Lewin, B.1
  • 15
    • 0028283660 scopus 로고
    • Analysis of E. Coli Promoter Structures Using Neural Networks
    • Mahadevan I and Ghosh I (1994) Analysis of E. coli promoter structures using neural networks. Nucleic Acids Res 22:2158-2165.
    • (1994) Nucleic Acids Res , vol.22 , pp. 2158-2165
    • Mahadevan, I.1    Ghosh, I.2
  • 16
    • 0026024281 scopus 로고
    • Training Back-propagation Neural Networks to Define and Detect DNA-binding Sites
    • O'Neill, MC (1991) Training back-propagation neural networks to define and detect DNA-binding sites. Nucleic Acids Res 19:313-318.
    • (1991) Nucleic Acids Res , vol.19 , pp. 313-318
    • O'Neill, M.C.1
  • 17
    • 3242657700 scopus 로고    scopus 로고
    • A Choice for a Small Training Dataset? Doctorate in Computational Science, South African National Bioinfor-matics Institute
    • Oppon EC (2000) Synergistic Use of Promoter Prediction Algorithms: A Choice for a Small Training Dataset? Doctorate in Computational Science, South African National Bioinfor-matics Institute, 238 pp.
    • (2000) Synergistic Use of Promoter Prediction Algorithms , pp. 238
    • Oppon, E.C.1
  • 18
    • 29244442328 scopus 로고    scopus 로고
    • Computational analysis of plant RNA Pol-II promoters
    • Pandey SP and Krishnamachari A (2006) Computational analysis of plant RNA Pol-II promoters. Biosystems 83:38-50.
    • (2006) Biosystems , vol.83 , pp. 38-50
    • Pandey, S.P.1    Krishnamachari, A.2
  • 20
    • 34250618313 scopus 로고    scopus 로고
    • A novel approach to estimation of E. Coli Promoter Gene Sequences: Combining Feature Selection and Least Square Support Vector Machine (FS_LSSVN)
    • Polate K and Günes S (2007) A novel approach to estimation of E. coli promoter gene sequences: Combining feature selection and least square support vector machine (FS_LSSVN). Appl Math Comput 190:1574-1582.
    • (2007) Appl Math Comput , vol.190 , pp. 1574-1582
    • Polate, K.1    Günes, S.2
  • 22
    • 0027968068 scopus 로고
    • Clustal W: Improving the sensitivity of progressive multiple sequence alignment through sequence weighting position-specific gap penalties and weight matrix choice
    • Thompson JD, Higgins DD and Gibson TJ (1994) Clustal W: Improving the sensitivity of progressive multiple sequence alignment through sequence weighting position-specific gap penalties and weight matrix choice. Nucleic Acids Res 22:4673-4680.
    • (1994) Nucleic Acids Res , vol.22 , pp. 4673-4680
    • Thompson, J.D.1    Higgins, D.D.2    Gibson, T.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.