메뉴 건너뛰기




Volumn 26, Issue 3, 2009, Pages 440-443

Pitfalls of supervised feature selection

Author keywords

[No Author keywords available]

Indexed keywords


EID: 77949539217     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btp621     Document Type: Letter
Times cited : (167)

References (18)
  • 1
    • 0025725905 scopus 로고
    • Instance-based learning algorithms
    • Aha, D. and Kibler, D. (1991) Instance-based learning algorithms. Mach. Learn., 6, 37-66.
    • (1991) Mach. Learn. , vol.6 , pp. 37-66
    • Aha, D.1    Kibler, D.2
  • 2
    • 0037076322 scopus 로고    scopus 로고
    • Selection bias in gene extraction on the basis of microarray gene-expression data
    • Ambroise, C. and McLachlan, G.J. (2002) Selection bias in gene extraction on the basis of microarray gene-expression data. Proc. Natl Acad. Sci. USA, 99, 6562-6566.
    • (2002) Proc. Natl Acad. Sci. USA , vol.99 , pp. 6562-6566
    • Ambroise, C.1    McLachlan, G.J.2
  • 3
    • 42049118310 scopus 로고    scopus 로고
    • Machine learning methods for predictive proteomics
    • Barla, A. et al. (2008) Machine learning methods for predictive proteomics. Brief Bioinform., 9, 119-128.
    • (2008) Brief Bioinform. , vol.9 , pp. 119-128
    • Barla, A.1
  • 5
    • 7244250182 scopus 로고    scopus 로고
    • Data mining in bioinformatics using Weka
    • Frank, E. et al. (2004) Data mining in bioinformatics using Weka. Bioinformatics, 20, 2479-2481.
    • (2004) Bioinformatics , vol.20 , pp. 2479-2481
    • Frank, E.1
  • 6
    • 0034334542 scopus 로고    scopus 로고
    • Computational methods for protein secondary structure prediction using multiple sequence alignments
    • Heringa, J. (2000) Computational methods for protein secondary structure prediction using multiple sequence alignments. Curr. Protein Pept. Sci., 1, 273-301.
    • (2000) Curr. Protein Pept. Sci. , vol.1 , pp. 273-301
    • Heringa, J.1
  • 8
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi, R. and John, G. (1997) Wrappers for feature subset selection. Artif. Intell., 97, 273-324.
    • (1997) Artif. Intell. , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.2
  • 9
    • 36749031066 scopus 로고    scopus 로고
    • Progress from CASP6 to CASP7
    • Kryshtafovych, A. et al. (2007) Progress from CASP6 to CASP7. Proteins, 69 (Suppl. 8), 194-207.
    • (2007) Proteins , vol.69 , Issue.SUPPL. 8 , pp. 194-207
    • Kryshtafovych, A.1
  • 10
    • 33749625953 scopus 로고    scopus 로고
    • SVM approach for predicting LogP
    • Liao, Q. et al. (2006) SVM approach for predicting LogP. Mol. Divers., 10, 301-309.
    • (2006) Mol. Divers. , vol.10 , pp. 301-309
    • Liao, Q.1
  • 11
    • 25144494760 scopus 로고    scopus 로고
    • Prediction error estimation: a comparison of resampling methods
    • Molinaro, A.M. et al. (2005) Prediction error estimation: a comparison of resampling methods. Bioinformatics, 21, 3301-3307.
    • (2005) Bioinformatics , vol.21 , pp. 3301-3307
    • Molinaro, A.M.1
  • 12
    • 34948835662 scopus 로고    scopus 로고
    • Applications of artificial neural networks in medical science
    • Patel, J.L. and Goyal, R.K. (2007) Applications of artificial neural networks in medical science. Curr. Clin. Pharmacol., 2, 217-226.
    • (2007) Curr. Clin. Pharmacol. , vol.2 , pp. 217-226
    • Patel, J.L.1    Goyal, R.K.2
  • 13
    • 0000325341 scopus 로고
    • On lines and planes of closest fit to systems of points in space
    • Pearson, K. (1901) On lines and planes of closest fit to systems of points in space. Phil. Mag., 2, 559-572.
    • (1901) Phil. Mag. , vol.2 , pp. 559-572
    • Pearson, K.1
  • 15
    • 35748966976 scopus 로고    scopus 로고
    • Protein solubility: sequence based prediction and experimental verification
    • Smialowski, P. et al. (2007) Protein solubility: sequence based prediction and experimental verification. Bioinformatics, 23, 2536-2542.
    • (2007) Bioinformatics , vol.23 , pp. 2536-2542
    • Smialowski, P.1
  • 16
    • 70350287521 scopus 로고    scopus 로고
    • Quantum random bit generator service for Monte Carlo and other stochastic simulations
    • Lirkov,I. et al. (eds). Springer, Berlin, Heidelberg
    • Stevanovic, R. et al. (2008) Quantum random bit generator service for Monte Carlo and other stochastic simulations. In Lirkov,I. et al. (eds) Lecture Notes in Computer Science. Springer, Berlin, Heidelberg, pp. 508-515.
    • (2008) Lecture Notes in Computer Science , pp. 508-515
    • Stevanovic, R.1
  • 18
    • 34447331698 scopus 로고    scopus 로고
    • Classification based upon gene expression data: bias and precision of error rates
    • Wood, I.A. et al. (2007) Classification based upon gene expression data: bias and precision of error rates. Bioinformatics, 23, 1363-1370.
    • (2007) Bioinformatics , vol.23 , pp. 1363-1370
    • Wood, I.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.