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Volumn 8, Issue 11, 2013, Pages

Multi-TGDR: A regularization method for multi-class classification in microarray experiments

Author keywords

[No Author keywords available]

Indexed keywords

BETA DEFENSIN 4; BIOLOGICAL MARKER; GAMMA GLUTAMYL HYDROLASE;

EID: 84896720575     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0078302     Document Type: Article
Times cited : (14)

References (22)
  • 1
    • 35748932917 scopus 로고    scopus 로고
    • A review of feature selection techniques in bioinformatics
    • DOI 10.1093/bioinformatics/btm344
    • Saeys Y, Inza I, Larrañaga P (2007) A review of feature selection techniques in bioinformatics. Bioinformatics 23: 2507-2517. (Pubitemid 350048351)
    • (2007) Bioinformatics , vol.23 , Issue.19 , pp. 2507-2517
    • Saeys, Y.1    Inza, I.2    Larranaga, P.3
  • 2
    • 17044405923 scopus 로고    scopus 로고
    • Toward integrating feature selection algorithms for classification and clustering
    • DOI 10.1109/TKDE.2005.66
    • Liu H, Yu L (2005) Toward integrating feature selection algorithms for classification and clustering. IEEE Transactions on Knowledge and Data Engineering 17: 491-502. (Pubitemid 40495592)
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.4 , pp. 491-502
    • Liu, H.1    Yu, L.2
  • 3
    • 33747883187 scopus 로고    scopus 로고
    • Novel unsupervised feature filtering of biological data
    • DOI 10.1093/bioinformatics/btl214
    • Varshavsky R, Gottlieb A, Linial M, Horn D (2006) Novel unsupervised feature filtering of biological data. Bioinformatics 22: e507-e513. (Pubitemid 44288322)
    • (2006) Bioinformatics , vol.22 , Issue.14
    • Varshavsky, R.1    Gottlieb, A.2    Linial, M.3    Horn, D.4
  • 5
    • 60549109896 scopus 로고    scopus 로고
    • Regularized gene selection in cancer microarray meta-analysis
    • Ma S, Huang J (2009) Regularized gene selection in cancer microarray meta-analysis. BMC bioinformatics 10: 1.
    • (2009) BMC Bioinformatics , vol.10 , pp. 1
    • Ma, S.1    Huang, J.2
  • 6
    • 24044435942 scopus 로고    scopus 로고
    • Reducing multiclass to binary: A unifying approach for margin classifiers
    • Allwein EL, Schapire RE, Singer Y (2001) Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers. Journal of Machine Learning Research 1: 113-141. (Pubitemid 33738778)
    • (2001) Journal of Machine Learning Research , vol.1 , Issue.2 , pp. 113-141
    • Allwein, E.L.1    Schapire, R.E.2    Singer, Y.3
  • 7
    • 84872970831 scopus 로고    scopus 로고
    • Pairwise Classification as an Ensemble Technique
    • Fürnkranz J (2002) Pairwise Classification as an Ensemble Technique. Machine Learning ECML 2002 2430: 9-38.
    • (2002) Machine Learning ECML 2002 , vol.2430 , pp. 9-38
    • Fürnkranz, J.1
  • 8
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multiclass support vector machines
    • Hsu CW, Lin CJ (2002) A comparison of methods for multiclass support vector machines. IEEE Transactions on Neural Networks 13: 415-425.
    • (2002) IEEE Transactions on Neural Networks , vol.13 , pp. 415-425
    • Hsu, C.W.1    Lin, C.J.2
  • 9
    • 28944437658 scopus 로고    scopus 로고
    • Regularized ROC method for disease classification and biomarker selection with microarray data
    • DOI 10.1093/bioinformatics/bti724
    • Ma S, Huang J (2005) Regularized ROC method for disease classification and biomarker selection with microarray data. Bioinformatics 21: 4356-4362. (Pubitemid 41782925)
    • (2005) Bioinformatics , vol.21 , Issue.24 , pp. 4356-4362
    • Ma, S.1    Huang, J.2
  • 11
    • 84952496879 scopus 로고
    • A Note on the Delta Method
    • Oehlert GW (1992) A Note on the Delta Method. American Statistician 46: 27-29.
    • (1992) American Statistician , vol.46 , pp. 27-29
    • Oehlert, G.W.1
  • 12
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman L (1996) Bagging predictors. Machine Learning 24: 123-140.
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 13
    • 19544362938 scopus 로고    scopus 로고
    • Bayesian model averaging: Development of an improved multi-class, gene selection and classification tool for microarray data
    • DOI 10.1093/bioinformatics/bti319
    • Yeung KY, Bumgarner RE, Raftery AE (2005) Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data. Bioinformatics 21: 2394-2402. (Pubitemid 40731595)
    • (2005) Bioinformatics , vol.21 , Issue.10 , pp. 2394-2402
    • Yeung, K.Y.1    Bumgarner, R.E.2    Raftery, A.E.3
  • 14
    • 34548125448 scopus 로고    scopus 로고
    • Logistic regression for disease classification using microarray data: Model selection in a large p and small n case
    • DOI 10.1093/bioinformatics/btm287
    • Liao JG, Chin KV (2007) Logistic regression for disease classification using microarray data: model selection in a large p and small n case. Bioinformatics 23: 1945-1951. (Pubitemid 47299835)
    • (2007) Bioinformatics , vol.23 , Issue.15 , pp. 1945-1951
    • Liao, J.G.1    Chin, K.-V.2
  • 16
    • 79959361260 scopus 로고    scopus 로고
    • Global gene expression analysis reveals evidence for decreased lipid biosynthesis and increased innate immunity in uninvolved psoriatic skin
    • Gudjonsson JE, Ding J, Li X, Nair RP, Tejasvi T, et al. (2009) Global gene expression analysis reveals evidence for decreased lipid biosynthesis and increased innate immunity in uninvolved psoriatic skin. The Journal of investigative dermatology 129: 2795-2804.
    • (2009) The Journal of Investigative Dermatology , vol.129 , pp. 2795-2804
    • Gudjonsson, J.E.1    Ding, J.2    Li, X.3    Nair, R.P.4    Tejasvi, T.5
  • 18
    • 84866022852 scopus 로고    scopus 로고
    • Meta-analysis derived (MAD) transcriptome of psoriasis defines the "core" pathogenesis of disease
    • Tian S, Krueger JG, Li K, Jabbari A, Brodmerkel C, et al. (2012) Meta-analysis derived (MAD) transcriptome of psoriasis defines the "core" pathogenesis of disease. PloS one 7: e44274.
    • (2012) PloS One , vol.7
    • Tian, S.1    Krueger, J.G.2    Li, K.3    Jabbari, A.4    Brodmerkel, C.5
  • 20
    • 33845432928 scopus 로고    scopus 로고
    • Adjusting batch effects in microarray expression data using empirical Bayes methods
    • DOI 10.1093/biostatistics/kxj037
    • Johnson WE, Li C, Rabinovic A (2007) Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics 8: 118-127. (Pubitemid 44906106)
    • (2007) Biostatistics , vol.8 , Issue.1 , pp. 118-127
    • Johnson, W.E.1    Li, C.2    Rabinovic, A.3
  • 22
    • 35748958714 scopus 로고    scopus 로고
    • A parsimonious threshold-independent protein feature selection method through the area under receiver operating characteristic curve
    • DOI 10.1093/bioinformatics/btm442
    • Wang Z, Chang YI, Ying Z, Zhu L, Yang Y (2007) A parsimonious threshold-independent protein feature selection method through the area under receiver operating characteristic curve. Bioinformatics 23: 2788-2794. (Pubitemid 350048346)
    • (2007) Bioinformatics , vol.23 , Issue.20 , pp. 2788-2794
    • Wang, Z.1    Chang, Y.-C.I.2    Ying, Z.3    Zhu, L.4    Yang, Y.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.