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Volumn , Issue , 2012, Pages 413-416

Prediction of protein-protein interactions in Saccharomyces cerevisiae based on protein secondary structure

Author keywords

constructing negative data set; Protein interaction relative bias; support vector machine

Indexed keywords

BIOLOGICAL FUNCTIONS; DATA SETS; NEW PARAMETERS; POSITIVE DATA; PREDICTION ACCURACY; PROTEIN FUNCTIONS; PROTEIN INTERACTION; PROTEIN SECONDARY STRUCTURE; PROTEIN-PROTEIN INTERACTIONS; THEORETICAL PREDICTION;

EID: 84866693892     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iCBEB.2012.302     Document Type: Conference Paper
Times cited : (9)

References (11)
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  • 2
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    • Ramani, A.K.1    Marcotte, E.M.2
  • 3
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    • Pazos, F.1    Valencia, A.2
  • 5
    • 0033618555 scopus 로고    scopus 로고
    • Detecting protein function and protein-protein interactions from genome sequences
    • E. M. Marcotte, M. Pellegrini, H. L. Ng, D. W. Rice, T. O. Yeates, and D. Eisenberg, "Detecting protein function and protein-protein interactions from genome sequences", Science, vol. 285, 1999, pp.751-753.
    • (1999) Science , vol.285 , pp. 751-753
    • Marcotte, E.M.1    Pellegrini, M.2    Ng, H.L.3    Rice, D.W.4    Yeates, T.O.5    Eisenberg, D.6
  • 7
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  • 9
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    • A domain-based approach to predict protein-protein interactions
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  • 10
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    • Prediction of protein-protein interaction types using association rule based classification
    • S. H. Park, J. A. Reyes, D. R. Gilbert, J. W. Kim, and S. Kim, "Prediction of protein-protein interaction types using association rule based classification", BMC Bioinformatics, vol. 10, 2009, pp.36.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.