메뉴 건너뛰기




Volumn 4, Issue 1, 2011, Pages

Interpol: An R package for preprocessing of protein sequences

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID SEQUENCE; ARTICLE; DATA BASE; MACHINE LEARNING; PRIORITY JOURNAL; PROTEIN PROCESSING;

EID: 79958838672     PISSN: None     EISSN: 17560381     Source Type: Journal    
DOI: 10.1186/1756-0381-4-16     Document Type: Article
Times cited : (17)

References (16)
  • 1
    • 0028300741 scopus 로고
    • Combining evolutionary information and neural networks to predict protein secondary structure
    • DOI 10.1002/prot.340190108
    • Combining evolutionary information and neural networks to predict protein secondary structure. B Rost C Sander, Proteins 1994 19 55 72 10.1002/prot.340190108 8066087 (Pubitemid 24151484)
    • (1994) Proteins: Structure, Function and Genetics , vol.19 , Issue.1 , pp. 55-72
    • Rost, B.1    Sander, C.2
  • 2
    • 0029047319 scopus 로고
    • Prediction of protein folding class using global description of amino acid sequence
    • 10.1073/pnas.92.19.8700. 7568000
    • Prediction of protein folding class using global description of amino acid sequence. I Dubchak I Muchnik SR Holbrook SH Kim, Proc Natl Acad Sci 1995 92 8700 8704 10.1073/pnas.92.19.8700 7568000
    • (1995) Proc Natl Acad Sci , vol.92 , pp. 8700-8704
    • Dubchak, I.1    Muchnik, I.2    Holbrook, S.R.3    Kim, S.H.4
  • 3
    • 0036166451 scopus 로고    scopus 로고
    • Classifying G-protein coupled receptors with support vector machines
    • 10.1093/bioinformatics/18.1.147. 11836223
    • Classifying G-protein coupled receptors with support vector machines. R Karchin K Karplus D Haussler, Bioinformatics 2002 18 147 150 10.1093/bioinformatics/18.1.147 11836223
    • (2002) Bioinformatics , vol.18 , pp. 147-150
    • Karchin, R.1    Karplus, K.2    Haussler, D.3
  • 4
    • 0037407113 scopus 로고    scopus 로고
    • Reliable prediction of T-cell epitopes using neural networks with novel sequence representations
    • DOI 10.1110/ps.0239403
    • Reliable prediction of T-cell epitopes using neural networks with novel sequence representations. M Nielsen C Lundegaard P Worning SL Lauemøller K Lamberth S Buus S Brunak O Lund, Protein Sci 2003 12 5 1007 1017 10.1110/ps.0239403 12717023 (Pubitemid 36505435)
    • (2003) Protein Science , vol.12 , Issue.5 , pp. 1007-1017
    • Nielsen, M.1    Lundegaard, C.2    Worning, P.3    Lauemoller, S.L.4    Lamberth, K.5    Buus, S.6    Brunak, S.7    Lund, O.8
  • 5
    • 78650685659 scopus 로고    scopus 로고
    • A new encoding technique for peptide classification
    • 10.1016/j.eswa.2010.09.005
    • A new encoding technique for peptide classification. L Nanni A Lumini, Expert Systems with Applications 2011 38 4 3185 3191 10.1016/j.eswa.2010.09.005
    • (2011) Expert Systems with Applications , vol.38 , Issue.4 , pp. 3185-3191
    • Nanni, L.1    Lumini, A.2
  • 6
    • 0020475449 scopus 로고
    • A simple method for displaying the hydropathic character of a protein
    • 10.1016/0022-2836(82)90515-0. 7108955
    • A simple method for displaying the hydropathic character of a protein. J Kyte R Doolittle, J Mol Biol 1982 157 105 132 10.1016/0022-2836(82)90515-0 7108955
    • (1982) J Mol Biol , vol.157 , pp. 105-132
    • Kyte, J.1    Doolittle, R.2
  • 7
    • 77954617255 scopus 로고    scopus 로고
    • Prediction of co-receptor usage of HIV-1 from genotype
    • 10.1371/journal.pcbi.1000743. 20419152
    • Prediction of co-receptor usage of HIV-1 from genotype. JN Dybowski D Heider D Hoffmann, PLoS Comput Biol 2010 6 4 1000743 10.1371/journal.pcbi. 1000743 20419152
    • (2010) PLoS Comput Biol , vol.6 , Issue.4 , pp. 51000743
    • Dybowski, J.N.1    Heider, D.2    Hoffmann, D.3
  • 10
    • 79953169177 scopus 로고    scopus 로고
    • Machine learning on normalized protein sequences
    • 10.1186/1756-0500-4-94. 21453485
    • Machine learning on normalized protein sequences. D Heider J Verheyen D Hoffmann, BMC Research Notes 2011 4 94 10.1186/1756-0500-4-94 21453485
    • (2011) BMC Research Notes , vol.4 , pp. 94
    • Heider, D.1    Verheyen, J.2    Hoffmann, D.3
  • 13
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • DOI 10.1023/A:1010933404324
    • Random Forests. L Breiman, Machine Learning 2001 45 5 32 10.1023/A:1010933404324 (Pubitemid 32933532)
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 14
    • 27544491192 scopus 로고    scopus 로고
    • ROCR: Visualizing classifier performance in R
    • DOI 10.1093/bioinformatics/bti623
    • ROCR: visualizing classifier performance in R. T Sing O Sander N Beerenwinkel T Lengauer, Bioinformatics 2005 21 20 3940 3941 10.1093/bioinformatics/bti623 16096348 (Pubitemid 41535515)
    • (2005) Bioinformatics , vol.21 , Issue.20 , pp. 3940-3941
    • Sing, T.1    Sander, O.2    Beerenwinkel, N.3    Lengauer, T.4
  • 16
    • 33846225133 scopus 로고    scopus 로고
    • Huntington's disease
    • DOI 10.1016/S0140-6736(07)60111-1, PII S0140673607601111
    • Huntington's disease. FO Walker, Lancet 2007 369 9557 218 228 10.1016/S0140-6736(07)60111-1 17240289 (Pubitemid 46107685)
    • (2007) Lancet , vol.369 , Issue.9557 , pp. 218-228
    • Walker, F.O.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.