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Volumn 15, Issue 1, 2014, Pages

Robustness of Random Forest-based gene selection methods

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL DEMANDS; FEATURE SELECTION METHODS; MACHINE LEARNING METHODS; MICROARRAY DATA; MICROARRAY DATA ANALYSIS; OPTIMAL SELECTION; RANDOM FOREST CLASSIFIER; RANDOM FOREST METHODS;

EID: 84892381665     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-15-8     Document Type: Article
Times cited : (224)

References (26)
  • 1
    • 35748932917 scopus 로고    scopus 로고
    • A review of feature selection techniques in bioinformatics
    • 10.1093/bioinformatics/btm344, 17720704
    • Saeys Y, Inza I, Larrañaga P. A review of feature selection techniques in bioinformatics. Bioinformatics 2007, 23(19):2507-2517. 10.1093/bioinformatics/btm344, 17720704.
    • (2007) Bioinformatics , vol.23 , Issue.19 , pp. 2507-2517
    • Saeys, Y.1    Inza, I.2    Larrañaga, P.3
  • 2
    • 33947525717 scopus 로고    scopus 로고
    • Consistent feature selection for pattern recognition in polynomial time
    • Nielsen R, Peña J, Björkegren J, Tegnér J. Consistent feature selection for pattern recognition in polynomial time. J Mach Learn Res 2007, 8:612.
    • (2007) J Mach Learn Res , vol.8 , pp. 612
    • Nielsen, R.1    Peña, J.2    Björkegren, J.3    Tegnér, J.4
  • 4
    • 30644464444 scopus 로고    scopus 로고
    • Gene selection and classification of microarray data using random forest
    • 10.1186/1471-2105-7-3, 1363357, 16398926
    • Díaz-Uriarte R, Alvarez de Andrés S. Gene selection and classification of microarray data using random forest. BMC Bioinformatics 2006, 7:3. 10.1186/1471-2105-7-3, 1363357, 16398926.
    • (2006) BMC Bioinformatics , vol.7 , pp. 3
    • Díaz-Uriarte, R.1    Alvarez de Andrés, S.2
  • 5
    • 0035478854 scopus 로고    scopus 로고
    • Random Forests
    • Breiman L. Random Forests. Mach Learn 2001, 45:5-32.
    • (2001) Mach Learn , vol.45 , pp. 5-32
    • Breiman, L.1
  • 7
    • 68949154557 scopus 로고    scopus 로고
    • Feature selection with ensembles, artificial variables, and redundancy elimination
    • Tuv E, Borisov A, Runger G, Torkkola K. Feature selection with ensembles, artificial variables, and redundancy elimination. J Mach Learn Res 2009, 10:1341-1366.
    • (2009) J Mach Learn Res , vol.10 , pp. 1341-1366
    • Tuv, E.1    Borisov, A.2    Runger, G.3    Torkkola, K.4
  • 8
    • 84892854964 scopus 로고    scopus 로고
    • Rf-ace - multivariate machine learning with heterogeneous data
    • rf-ace - multivariate machine learning with heterogeneous data. https://code.google.com/p/rf-ace/.
  • 9
    • 77958158373 scopus 로고    scopus 로고
    • Feature selection with the Boruta package
    • Kursa MB, Rudnicki WR. Feature selection with the Boruta package. J Stat Softw 2010, 36(11):1-13.
    • (2010) J Stat Softw , vol.36 , Issue.11 , pp. 1-13
    • Kursa, M.B.1    Rudnicki, W.R.2
  • 11
    • 84870875807 scopus 로고    scopus 로고
    • Random ferns method implementation for the general-purpose machine learning
    • Kursa MB. Random ferns method implementation for the general-purpose machine learning. 2012, http://arxiv.org/abs/1202.1121.
    • (2012)
    • Kursa, M.B.1
  • 12
    • 80052954502 scopus 로고    scopus 로고
    • A deceiving charm of feature selection. The microarray case study
    • Berlin, Heidelberg: Springer, Czachóski T, Kozielski S, Stańczyk U
    • Kursa MB, Rudnicki WR. A deceiving charm of feature selection. The microarray case study. Man-Machine Interactions 2, Advances in Intelligent and Soft Computing 2011, 145-152. Berlin, Heidelberg: Springer, Czachóski T, Kozielski S, Stańczyk U.
    • (2011) Man-Machine Interactions 2, Advances in Intelligent and Soft Computing , pp. 145-152
    • Kursa, M.B.1    Rudnicki, W.R.2
  • 13
    • 0037076322 scopus 로고    scopus 로고
    • Selection bias in gene extraction on the basis of microarray gene-expression data
    • 10.1073/pnas.102102699, 124442, 11983868
    • Ambroise C, McLachlan GJ. Selection bias in gene extraction on the basis of microarray gene-expression data. Proc Natl Acad Sci 2002, 99(10):6562-6566. 10.1073/pnas.102102699, 124442, 11983868.
    • (2002) Proc Natl Acad Sci , vol.99 , Issue.10 , pp. 6562-6566
    • Ambroise, C.1    McLachlan, G.J.2
  • 15
    • 33747889223 scopus 로고    scopus 로고
    • Use of external controls in microarray experiments
    • Yang IV. Use of external controls in microarray experiments. Methods Enzymol 2006, 411:50-63.
    • (2006) Methods Enzymol , vol.411 , pp. 50-63
    • Yang, I.V.1
  • 16
    • 2942701493 scopus 로고    scopus 로고
    • Ranking a random feature for variable and feature selection
    • Stoppiglia H, Dreyfus G. Ranking a random feature for variable and feature selection. J Mach Learn Res 2003, 3:1399-1414.
    • (2003) J Mach Learn Res , vol.3 , pp. 1399-1414
    • Stoppiglia, H.1    Dreyfus, G.2
  • 17
    • 56249113343 scopus 로고    scopus 로고
    • Building predictive models in R using the caret package
    • Kuhn M. Building predictive models in R using the caret package. J Stat Soft 2008, 28(5):1-26.
    • (2008) J Stat Soft , vol.28 , Issue.5 , pp. 1-26
    • Kuhn, M.1
  • 18
    • 84881038733 scopus 로고    scopus 로고
    • Gene selection with guided regularized random forest
    • Deng H, Runger G. Gene selection with guided regularized random forest. Pattern Recognit 2013, 46(12):3483-3489.
    • (2013) Pattern Recognit , vol.46 , Issue.12 , pp. 3483-3489
    • Deng, H.1    Runger, G.2
  • 19
    • 0345040873 scopus 로고    scopus 로고
    • Classification and regression by randomForest
    • Liaw A, Wiener M. Classification and regression by randomForest. R News 2002, 2(3):18-22.
    • (2002) R News , vol.2 , Issue.3 , pp. 18-22
    • Liaw, A.1    Wiener, M.2
  • 21
    • 0033536012 scopus 로고    scopus 로고
    • Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
    • 10.1073/pnas.96.12.6745, 21986, 10359783
    • Alon U, Barkai N, Notterman DA, Gish K, Ybarra S, Mack D, Levine AJ. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proc Natl Acad Sci USA 1999, 96(12):6745-6750. 10.1073/pnas.96.12.6745, 21986, 10359783.
    • (1999) Proc Natl Acad Sci USA , vol.96 , Issue.12 , pp. 6745-6750
    • Alon, U.1    Barkai, N.2    Notterman, D.A.3    Gish, K.4    Ybarra, S.5    Mack, D.6    Levine, A.J.7
  • 25
    • 0002294347 scopus 로고
    • A simple sequentially rejective multiple test procedure
    • Holm S. A simple sequentially rejective multiple test procedure. Scand J Stat 1979, 6:65-70.
    • (1979) Scand J Stat , vol.6 , pp. 65-70
    • Holm, S.1
  • 26
    • 84863304598 scopus 로고    scopus 로고
    • Vienna: R Foundation for Statistical Computing, R Core Team
    • R Core Team R: A Language and Environment for Statistical Computing 2013, Vienna: R Foundation for Statistical Computing, http://www.R-project.org/, R Core Team.
    • (2013) R: A Language and Environment for Statistical Computing


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.