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Volumn , Issue , 2007, Pages 66-70

Ensemble of probabilistic neural networks for protein fold recognition

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; PROBABILITY; PROTEIN FOLDING; VEGETATION; WATER PIPELINES;

EID: 47649093947     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2007.4375546     Document Type: Conference Paper
Times cited : (20)

References (18)
  • 2
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    • Multi-class protein fold recognition using support vector machines and neural networks
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    • C. Ding, I. Dubchak. Multi-class protein fold recognition using support vector machines and neural networks. Bioinformatics, 17(4):349-358, April 2001.
    • (2001) Bioinformatics , vol.17 , Issue.4 , pp. 349-358
    • Ding, C.1    Dubchak, I.2
  • 4
    • 14944354760 scopus 로고    scopus 로고
    • Multi-Class Protein Fold Classification Using a New Ensemble Machine Learning Approach
    • A.C. Tan, D. Gilbert and Y. Deville. Multi-Class Protein Fold Classification Using a New Ensemble Machine Learning Approach. Genome Informatics, 14:206-217, 2003.
    • (2003) Genome Informatics , vol.14 , pp. 206-217
    • Tan, A.C.1    Gilbert, D.2    Deville, Y.3
  • 6
    • 33745616114 scopus 로고    scopus 로고
    • A machine learning information retrieval approach to protein fold recognition
    • June
    • J.L. Cheng and P. Baldi. A machine learning information retrieval approach to protein fold recognition. Structural bioinformatics, 22(12):1456-1463, June 2006.
    • (2006) Structural bioinformatics , vol.22 , Issue.12 , pp. 1456-1463
    • Cheng, J.L.1    Baldi, P.2
  • 10
    • 0034985005 scopus 로고    scopus 로고
    • Ab initio protein structure prediction: Progress and prospects
    • February
    • R. Bonneau, D. Baker. Ab initio protein structure prediction: Progress and prospects. Annu. Rev. Biophys. Biomol.Struct, 30:173-189, February 2001.
    • (2001) Annu. Rev. Biophys. Biomol.Struct , vol.30 , pp. 173-189
    • Bonneau, R.1    Baker, D.2
  • 11
    • 29444440889 scopus 로고    scopus 로고
    • Tumor tissue identification based on gene expression data using DWT feature extraction and PNN classifier
    • January
    • G.M. Sun, X.Y. Dong, G.D. Xu. Tumor tissue identification based on gene expression data using DWT feature extraction and PNN classifier. Neurocomputing, 69:387-402, January 2006.
    • (2006) Neurocomputing , vol.69 , pp. 387-402
    • Sun, G.M.1    Dong, X.Y.2    Xu, G.D.3
  • 12
    • 0036009678 scopus 로고    scopus 로고
    • Probabilistic neural network for evaluating seismic liquefaction potential
    • February
    • A.T.C. Goh. Probabilistic neural network for evaluating seismic liquefaction potential. Canadian Geotechnical Journal, 39(1):19-232, February 2002.
    • (2002) Canadian Geotechnical Journal , vol.39 , Issue.1 , pp. 19-232
    • Goh, A.T.C.1
  • 14
    • 33748929857 scopus 로고    scopus 로고
    • Particle swarm optimization training algorithm for ANNs in stage prediction of Shing Mun River
    • October
    • K.W. Chau. Particle swarm optimization training algorithm for ANNs in stage prediction of Shing Mun River. Journal of Hydrology, 329:363-367, October 2006.
    • (2006) Journal of Hydrology , vol.329 , pp. 363-367
    • Chau, K.W.1
  • 16
    • 33847108505 scopus 로고    scopus 로고
    • Particle Swarm Optimization with Local Search
    • October
    • J.Y. Chen, Z. Qin, Y. Liu and J. Lu. Particle Swarm Optimization with Local Search. Neural Networks and Brain, 1:481-484, October 2005.
    • (2005) Neural Networks and Brain , vol.1 , pp. 481-484
    • Chen, J.Y.1    Qin, Z.2    Liu, Y.3    Lu, J.4
  • 18
    • 0036567392 scopus 로고    scopus 로고
    • Ensembling Neural Networks: Many Could Be Better Than All
    • May
    • Z.H. Zhou, J.X. Wu and W. Tang. Ensembling Neural Networks: Many Could Be Better Than All. Artificial Intelligence, 137:239-263, May 2002.
    • (2002) Artificial Intelligence , vol.137 , pp. 239-263
    • Zhou, Z.H.1    Wu, J.X.2    Tang, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.