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Volumn 28, Issue 1, 2009, Pages

Lung cancer gene expression database analysis incorporating prior knowledge with support vector machine-based classification method

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; CANCER CLASSIFICATION; COMPUTER PROGRAM; DATA BASE; DNA MICROARRAY; GENE EXPRESSION PROFILING; HUMAN; LUNG ADENOCARCINOMA; MALIGNANT MESOTHELIOMA; NUCLEOTIDE SEQUENCE; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; ARTIFICIAL INTELLIGENCE; BIOLOGY; CLASSIFICATION; GENETIC DATABASE; GENETICS; LUNG TUMOR; METHODOLOGY;

EID: 68749107206     PISSN: None     EISSN: 17569966     Source Type: Journal    
DOI: 10.1186/1756-9966-28-103     Document Type: Article
Times cited : (38)

References (39)
  • 1
    • 65549136186 scopus 로고    scopus 로고
    • An introduction to artificial neural networks in bioinformatics application to complex microarray and mass spectrometry datasets in cancer studies
    • 10.1093/bib/bbp012 19307287
    • An introduction to artificial neural networks in bioinformatics application to complex microarray and mass spectrometry datasets in cancer studies. LJ Lancashire C Lemetre GR Ball, Brief Bioinform 2009 10 315 329 10.1093/bib/bbp012 19307287
    • (2009) Brief Bioinform , vol.10 , pp. 315-329
    • Lancashire, L.J.1    Lemetre, C.2    Ball, G.R.3
  • 2
    • 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
    • Logistic regression for disease classification using microarray data: model selection in a large p and small n case. JG Liao KV Chin, Bioinformatics 2007 23 1945 1951 10.1093/bioinformatics/btm287 17540680 (Pubitemid 47299835)
    • (2007) Bioinformatics , vol.23 , Issue.15 , pp. 1945-1951
    • Liao, J.G.1    Chin, K.-V.2
  • 5
    • 0037226593 scopus 로고    scopus 로고
    • A molecular signature of metastasis in primary solid tumors
    • DOI 10.1038/ng1060
    • A molecular signature of metastasis in primary solid tumors. S Ramaswamy KN Ross ES Lander TR Golub, Nat Genet 2003 33 49 54 10.1038/ng1060 12469122 (Pubitemid 36068681)
    • (2003) Nature Genetics , vol.33 , Issue.1 , pp. 49-54
    • Ramaswamy, S.1    Ross, K.N.2    Lander, E.S.3    Golub, T.R.4
  • 6
    • 65249163979 scopus 로고    scopus 로고
    • A new regularized least squares support vector regression for gene selection
    • 19187562 10.1186/1471-2105-10-44
    • A new regularized least squares support vector regression for gene selection. PC Chen SY Huang WJ Chen CK Hsiao, BMC Bioinformatics 2009 10 44 19187562 10.1186/1471-2105-10-44
    • (2009) BMC Bioinformatics , vol.10 , pp. 44
    • Chen, P.C.1    Huang, S.Y.2    Chen, W.J.3    Hsiao, C.K.4
  • 7
    • 48549094895 scopus 로고    scopus 로고
    • A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification
    • 18647401 10.1186/1471-2105-9-319
    • A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification. A Statnikov L Wang CF Aliferis, BMC Bioinformatics 2008 9 319 18647401 10.1186/1471-2105-9-319
    • (2008) BMC Bioinformatics , vol.9 , pp. 319
    • Statnikov, A.1    Wang, L.2    Aliferis, C.F.3
  • 8
    • 48249110665 scopus 로고    scopus 로고
    • Microarray-based classification and clinical predictors: On combined classifiers and additional predictive value
    • 10.1093/bioinformatics/btn262 18544547
    • Microarray-based classification and clinical predictors: on combined classifiers and additional predictive value. AL Boulesteix C Porzelius M Daumer, Bioinformatics 2008 24 1698 1706 10.1093/bioinformatics/btn262 18544547
    • (2008) Bioinformatics , vol.24 , pp. 1698-1706
    • Boulesteix, A.L.1    Porzelius, C.2    Daumer, M.3
  • 9
    • 33749030973 scopus 로고    scopus 로고
    • Identifying genes that contribute most to good classification in microarrays
    • DOI 10.1186/1471-2105-7-407
    • Identifying genes that contribute most to good classification in microarrays. SG Baker BS Kramer, BMC Bioinformatics 2006 7 407 16959042 10.1186/1471-2105-7-407 (Pubitemid 44446720)
    • (2006) BMC Bioinformatics , vol.7 , pp. 407
    • Baker, S.G.1    Kramer, B.S.2
  • 10
    • 65649149784 scopus 로고    scopus 로고
    • Regularized F-measure maximization for feature selection and classification
    • 19421401
    • Regularized F-measure maximization for feature selection and classification. Z Liu M Tan F Jiang, J Biomed Biotechnol 2009 2009 617946 19421401
    • (2009) J Biomed Biotechnol , vol.2009 , pp. 617946
    • Liu, Z.1    Tan, M.2    Jiang, F.3
  • 11
    • 51649118105 scopus 로고    scopus 로고
    • Incremental forward feature selection with application to microarray gene expression data
    • 10.1080/10543400802277868 18781519
    • Incremental forward feature selection with application to microarray gene expression data. YJ Lee CC Chang CH Chao, J Biopharm Stat 2008 18 827 840 10.1080/10543400802277868 18781519
    • (2008) J Biopharm Stat , vol.18 , pp. 827-840
    • Lee, Y.J.1    Chang, C.C.2    Chao, C.H.3
  • 12
    • 34948844661 scopus 로고    scopus 로고
    • A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue
    • DOI 10.1016/j.artmed.2007.07.008, PII S0933365707000978, Integrative data mining in systems biology
    • A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue. Z Chen J Li L Wei, Artif Intell Med 2007 41 161 175 10.1016/j.artmed.2007.07.008 17851055 (Pubitemid 47534223)
    • (2007) Artificial Intelligence in Medicine , vol.41 , Issue.2 , pp. 161-175
    • Chen, Z.1    Li, J.2    Wei, L.3
  • 13
    • 34250676530 scopus 로고    scopus 로고
    • Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
    • DOI 10.1186/1471-2105-8-144
    • Recursive cluster elimination (RCE) for classification and feature selection from gene expression data. M Yousef S Jung LC Showe MK Showe, BMC Bioinformatics 2007 8 144 17474999 10.1186/1471-2105-8-144 (Pubitemid 47096954)
    • (2007) BMC Bioinformatics , vol.8 , pp. 144
    • Yousef, M.1    Jung, S.2    Showe, L.C.3    Showe, M.K.4
  • 14
    • 25444446813 scopus 로고    scopus 로고
    • Evaluation of normalization methods for cDNA microarray data by k-NN classification
    • DOI 10.1186/1471-2105-6-191
    • Evaluation of normalization methods for cDNA microarray data by k-NN classification. W Wu EP Xing C Myers IS Mian MJ Bissell, BMC Bioinformatics 2005 6 191 16045803 10.1186/1471-2105-6-191 (Pubitemid 41372475)
    • (2005) BMC Bioinformatics , vol.6 , pp. 191
    • Wu, W.1    Xing, E.P.2    Myers, C.3    Mian, I.S.4    Bissell, M.J.5
  • 15
    • 34247250323 scopus 로고    scopus 로고
    • Consensus framework for exploring microarray data using multiple clustering methods
    • DOI 10.1089/omi.2006.0008
    • Consensus framework for exploring microarray data using multiple clustering methods. T Laderas S McWeeney, OMICS 2007 11 116 128 10.1089/omi.2006.0008 17411399 (Pubitemid 46608897)
    • (2007) OMICS A Journal of Integrative Biology , vol.11 , Issue.1 , pp. 116-128
    • Laderas, T.1    Mcweeney, S.2
  • 18
    • 34548127285 scopus 로고    scopus 로고
    • Large-scale integration of cancer microarray data identifies a robust common cancer signature
    • DOI 10.1186/1471-2105-8-275
    • Large-scale integration of cancer microarray data identifies a robust common cancer signature. L Xu D Geman RL Winslow, BMC Bioinformatics 2007 8 275 17663766 10.1186/1471-2105-8-275 (Pubitemid 47300041)
    • (2007) BMC Bioinformatics , vol.8 , pp. 275
    • Xu, L.1    Geman, D.2    Winslow, R.L.3
  • 19
    • 1542268315 scopus 로고    scopus 로고
    • Multi-class cancer subtype classification based on gene expression signatures with reliability analysis
    • DOI 10.1016/S0014-5793(04)00175-9, PII S0014579304001759
    • Multi-class cancer subtype classification based on gene expression signatures with reliability analysis. LM Fu CS Fu-Liu, FEBS Lett 2004 561 186 190 10.1016/S0014-5793(04)00175-9 15013775 (Pubitemid 38317319)
    • (2004) FEBS Letters , vol.561 , Issue.1-3 , pp. 186-190
    • Fu, L.M.1    Fu-Liu, C.S.2
  • 20
    • 59649124237 scopus 로고    scopus 로고
    • Integrating biological knowledge with gene expression profiles for survival prediction of cancer
    • 10.1089/cmb.2008.12TT 19183004
    • Integrating biological knowledge with gene expression profiles for survival prediction of cancer. X Chen L Wang, J Comput Biol 2009 16 265 278 10.1089/cmb.2008.12TT 19183004
    • (2009) J Comput Biol , vol.16 , pp. 265-278
    • Chen, X.1    Wang, L.2
  • 21
    • 36549072440 scopus 로고    scopus 로고
    • Incorporating prior knowledge of gene functional groups into regularized discriminant analysis of microarray data
    • DOI 10.1093/bioinformatics/btm488
    • Incorporating prior knowledge of gene functional groups into regularized discriminant analysis of microarray data. F Tai W Pan, Bioinformatics 2007 23 3170 3177 10.1093/bioinformatics/btm488 17933851 (Pubitemid 350187519)
    • (2007) Bioinformatics , vol.23 , Issue.23 , pp. 3170-3177
    • Tai, F.1    Pan, W.2
  • 22
    • 10044240790 scopus 로고    scopus 로고
    • Using prior knowledge to improve genetic network reconstruction from microarray data
    • Using prior knowledge to improve genetic network reconstruction from microarray data. P Le Phillip A Bahl LH Ungar, In Silico Biol 2004 4 335 353 15724284 (Pubitemid 39600480)
    • (2004) In Silico Biology , vol.4 , Issue.3 , pp. 335-353
    • Le, P.P.1    Bahl, A.2    Ungar, L.H.3
  • 23
    • 44649159153 scopus 로고    scopus 로고
    • Recent trends of cancer in Europe: A combined approach of incidence, survival and mortality for 17 cancer sites since the 1990s
    • 10.1016/j.ejca.2007.12.015 18280139
    • Recent trends of cancer in Europe: A combined approach of incidence, survival and mortality for 17 cancer sites since the 1990s. HE Karim-Kos E de Vries I Soerjomataram V Lemmens S Siesling JW Coebergh, Eur J Cancer 2008 44 1345 1389 10.1016/j.ejca.2007.12.015 18280139
    • (2008) Eur J Cancer , vol.44 , pp. 1345-1389
    • Karim-Kos, H.E.1    De Vries, E.2    Soerjomataram, I.3    Lemmens, V.4    Siesling, S.5    Coebergh, J.W.6
  • 24
    • 44249086425 scopus 로고    scopus 로고
    • Non-small cell lung cancer: Epidemiology, risk factors, treatment, and survivorship
    • DOI 10.4065/83.5.584
    • Non-small cell lung cancer: epidemiology, risk factors, treatment, and survivorship. JR Molina P Yang SD Cassivi SE Schild AA Adjei, Mayo Clin Proc 2008 83 584 594 10.4065/83.5.584 18452692 (Pubitemid 351720831)
    • (2008) Mayo Clinic Proceedings , vol.83 , Issue.5 , pp. 584-594
    • Molina, J.R.1    Yang, P.2    Cassivi, S.D.3    Schild, S.E.4    Adjei, A.A.5
  • 26
    • 0042590987 scopus 로고    scopus 로고
    • The changing epidemiology of lung cancer in Europe
    • DOI 10.1016/S0169-5002(03)00230-7
    • The changing epidemiology of lung cancer in Europe. ML Janssen-Heijnen JW Coebergh, Lung Cancer 2003 41 245 58 10.1016/S0169-5002(03)00230-7 12928116 (Pubitemid 36970181)
    • (2003) Lung Cancer , vol.41 , Issue.3 , pp. 245-258
    • Janssen-Heijnen, M.L.G.1    Coebergh, J.-W.W.2
  • 28
    • 44249086425 scopus 로고    scopus 로고
    • Non-small cell lung cancer: Epidemiology, risk factors, treatment, and survivorship
    • DOI 10.4065/83.5.584
    • Non-small cell lung cancer: epidemiology, risk factors, treatment, and survivorship. JR Molina P Yang SD Cassivi SE Schild AA Adjei, Mayo Clin Proc 2008 83 584 594 10.4065/83.5.584 18452692 (Pubitemid 351720831)
    • (2008) Mayo Clinic Proceedings , vol.83 , Issue.5 , pp. 584-594
    • Molina, J.R.1    Yang, P.2    Cassivi, S.D.3    Schild, S.E.4    Adjei, A.A.5
  • 31
    • 2342533421 scopus 로고    scopus 로고
    • Class prediction by nearest shrunken centroids, with applications to DNA microarrays
    • DOI 10.1214/ss/1056397488
    • Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays. R Tibshirani T Hastie B Narasimhan G Chu, Stat Sci 2003 18 104 117 10.1214/ss/1056397488 (Pubitemid 41461824)
    • (2003) Statistical Science , vol.18 , Issue.1 , pp. 104-117
    • Tibshirani, R.1    Hastie, T.2    Narasimhan, B.3    Chu, G.4
  • 32
    • 34249649636 scopus 로고    scopus 로고
    • Improved centroids estimation for the nearest shrunken centroid classifier
    • DOI 10.1093/bioinformatics/btm046
    • Improved centroids estimation for the nearest shrunken centroid classifier. S Wang J Zhu, Bioinformatics 2007 23 972 979 10.1093/bioinformatics/ btm046 17384429 (Pubitemid 47050584)
    • (2007) Bioinformatics , vol.23 , Issue.8 , pp. 972-979
    • Wang, S.1    Zhu, J.2
  • 33
    • 34249753618 scopus 로고
    • Support-vector network
    • Support-vector network. C Cortes V Vapnik, Mach Learn 1995 20 1 25
    • (1995) Mach Learn , vol.20 , pp. 1-25
    • Cortes, C.1    Vapnik, V.2
  • 34
    • 44449145580 scopus 로고    scopus 로고
    • A comparative study of different machine learning methods on microarray gene expression data
    • DOI 10.1186/1471-2164-9-S1-S13
    • A comparative study of different machine learning methods on microarray gene expression data. M Pirooznia JY Yang MQ Yang Y Deng, BMC Genomics 2008 9 Suppl 1 S13 18366602 10.1186/1471-2164-9-S1-S13 (Pubitemid 351837303)
    • (2008) BMC Genomics , vol.9 , Issue.SUPPL. 1
    • Pirooznia, M.1    Yang, J.Y.2    Qu, M.Q.3    Deng, Y.4
  • 35
    • 33947414058 scopus 로고    scopus 로고
    • SVM Classifier - A comprehensive java interface for support vector machine classification of microarray data
    • DOI 10.1186/1471-2105-7-S4-S25
    • SVM Classifier-a comprehensive java interface for support vector machine classification of microarray data. M Pirooznia Y Deng, BMC Bioinformatics 2006 7 Suppl 4 S25 17217518 10.1186/1471-2105-7-S4-S25 (Pubitemid 46442987)
    • (2006) BMC Bioinformatics , vol.7 , Issue.SUPPL. 4
    • Pirooznia, M.1    Deng, Y.2
  • 37
    • 21444442035 scopus 로고    scopus 로고
    • Discovering molecular functions significantly related to phenotypes by combining gene expression data and biological information
    • DOI 10.1093/bioinformatics/bti457
    • Discovering molecular functions significantly related to phenotypes by combining gene expression data and biological information. F Al-Shahrour R Díaz-Uriarte J Dopazo, Bioinformatics 2005 21 2988 2993 10.1093/bioinformatics/bti457 15840702 (Pubitemid 40916423)
    • (2005) Bioinformatics , vol.21 , Issue.13 , pp. 2988-2993
    • Al-Shahrour, F.1    Diaz-Uriarte, R.2    Dopazo, J.3
  • 38
    • 33646895693 scopus 로고    scopus 로고
    • Incorporating biological knowledge into distance-based clustering analysis of microarray gene expression data
    • DOI 10.1093/bioinformatics/btl065
    • Incorporating biological knowledge into distance-based clustering analysis of microarray gene expression data. D Huang W Pan, Bioinformatics 2006 22 1259 1268 10.1093/bioinformatics/btl065 16500932 (Pubitemid 43779020)
    • (2006) Bioinformatics , vol.22 , Issue.10 , pp. 1259-1268
    • Huang, D.1    Pan, W.2


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