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Volumn 2009, Issue , 2009, Pages

Impact of missing value imputation on classification for DNA microarray gene expression DataA model-based study

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EID: 77951453115     PISSN: 16874145     EISSN: 16874153     Source Type: Journal    
DOI: 10.1155/2009/504069     Document Type: Article
Times cited : (21)

References (36)
  • 1
    • 13244278004 scopus 로고    scopus 로고
    • Influence of microarray experiments missing values on the stability of gene groups by hierarchical clustering
    • de Brevern A. G., Hazout S., Malpertuy A., Influence of microarray experiments missing values on the stability of gene groups by hierarchical clustering BMC Bioinformatics 2004 5, article 114
    • (2004) BMC Bioinformatics , vol.5114
    • De Brevern, A.G.1    Hazout, S.2    Malpertuy, A.3
  • 3
    • 0242643743 scopus 로고    scopus 로고
    • A Bayesian missing value estimation method for gene expression profile data
    • DOI 10.1093/bioinformatics/btg287
    • Oba S., Sato M.-A., Takemasa I., Monden M., Matsubara K.-I., Ishii S., A Bayesian missing value estimation method for gene expression profile data Bioinformatics 2003 19 16 2088 2096 (Pubitemid 37408160)
    • (2003) Bioinformatics , vol.19 , Issue.16 , pp. 2088-2096
    • Oba, S.1    Sato, M.-A.2    Takemasa, I.3    Monden, M.4    Matsubara, K.-I.5    Ishii, S.6
  • 4
    • 2342646842 scopus 로고    scopus 로고
    • LSimpute: Accurate estimation of missing values in microarray data with least squares methods
    • B T. H., Dysvik B., Jonassen I., LSimpute: accurate estimation of missing values in microarray data with least squares methods Nucleic Acids Research 2004 32 3 e34
    • (2004) Nucleic Acids Research , vol.32 , Issue.3 , pp. 34
    • H, B.T.1    Dysvik, B.2    Jonassen, I.3
  • 5
    • 13444304426 scopus 로고    scopus 로고
    • Missing value estimation for DNA microarray gene expression data: Local least squares imputation
    • DOI 10.1093/bioinformatics/bth499
    • Kim H., Golub G., Park H., Missing value estimation for DNA microarray gene expression data: local least squares imputation Bioinformatics 2005 21 2 187 198 (Pubitemid 40202020)
    • (2005) Bioinformatics , vol.21 , Issue.2 , pp. 187-198
    • Kim, H.1    Golub, G.H.2    Park, H.3
  • 6
    • 27944450456 scopus 로고    scopus 로고
    • DNA microarray data imputation and significance analysis of differential expression
    • DOI 10.1093/bioinformatics/bti638
    • Jrnsten R., Wang H., Welsh W., Ouyang M., DNA microarray data imputation and significance analysis of differential expression Bioinformatics 2005 21 22 4155 4161 (Pubitemid 41672106)
    • (2005) Bioinformatics , vol.21 , Issue.22 , pp. 4155-4161
    • Jornsten, R.1    Wang, H.-Y.2    Welsh, W.J.3    Ouyang, M.4
  • 7
    • 27544483496 scopus 로고    scopus 로고
    • Non-linear PCA: A missing data approach
    • DOI 10.1093/bioinformatics/bti634
    • Scholz M., Kaplan F., Guy C. L., Kopka J., Selbig J., Non-linear PCA: a missing data approach Bioinformatics 2005 21 20 3887 3895 (Pubitemid 41535504)
    • (2005) Bioinformatics , vol.21 , Issue.20 , pp. 3887-3895
    • Scholz, M.1    Kaplan, F.2    Guy, C.L.3    Kopka, J.4    Selbig, J.5
  • 8
    • 33644856110 scopus 로고    scopus 로고
    • Improving missing value estimation in microarray data with gene ontology
    • DOI 10.1093/bioinformatics/btk019
    • Tuikkala J., Elo L., Nevalainen O., Aittokallio T., Improving missing value estimation in microarray data with gene ontology Bioinformatics 2006 22 5 566 572 (Pubitemid 43372817)
    • (2006) Bioinformatics , vol.22 , Issue.5 , pp. 566-572
    • Tuikkala, J.1    Elo, L.2    Nevalainen, O.S.3    Aittokallio, T.4
  • 9
    • 33750386831 scopus 로고    scopus 로고
    • Integrative missing value estimation for microarray data
    • Hu J., Li H., Waterman M. S., Zhou X. J., Integrative missing value estimation for microarray data BMC Bioinformatics 2006 7, article 449
    • (2006) BMC Bioinformatics , vol.7449
    • Hu, J.1    Li, H.2    Waterman, M.S.3    Zhou, X.J.4
  • 10
    • 39749093807 scopus 로고    scopus 로고
    • Which missing value imputation method to use in expression profiles: A comparative study and two selection schemes
    • Brock G. N., Shaffer J. R., Blakesley R. E., Lotz M. J., Tseng G. C., Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes BMC Bioinformatics 2008 9, article 12
    • (2008) BMC Bioinformatics , vol.912
    • Brock, G.N.1    Shaffer, J.R.2    Blakesley, R.E.3    Lotz, M.J.4    Tseng, G.C.5
  • 12
    • 28444441249 scopus 로고    scopus 로고
    • The influence of missing value imputation on detection of differentially expressed genes from microarray data
    • Scheel I., Aldrin M., Glad I. K., Sorum R., Lyng H., Frigessi A., The influence of missing value imputation on detection of differentially expressed genes from microarray data Bioinformatics 2005 21 23 4272 4279
    • (2005) Bioinformatics , vol.21 , Issue.23 , pp. 4272-4279
    • Scheel, I.1    Aldrin, M.2    Glad, I.K.3    Sorum, R.4    Lyng, H.5    Frigessi, A.6
  • 13
    • 43849094303 scopus 로고    scopus 로고
    • Missing value imputation improves clustering and interpretation of gene expression microarray data
    • Tuikkala J., Elo L. L., Nevalainen O. S., Aittokallio T., Missing value imputation improves clustering and interpretation of gene expression microarray data BMC Bioinformatics 2008 9, article 202
    • (2008) BMC Bioinformatics , vol.9202
    • Tuikkala, J.1    Elo, L.L.2    Nevalainen, O.S.3    Aittokallio, T.4
  • 14
    • 33751358957 scopus 로고    scopus 로고
    • Effects of replacing the unreliable cDNA microarray measurements on the disease classification based on gene expression profiles and functional modules
    • DOI 10.1093/bioinformatics/btl339
    • Wang D., Lv Y., Guo Z., Effects of replacing the unreliable cDNA microarray measurements on the disease classification based on gene expression profiles and functional modules Bioinformatics 2006 22 23 2883 2889 (Pubitemid 44811559)
    • (2006) Bioinformatics , vol.22 , Issue.23 , pp. 2883-2889
    • Wang, D.1    Lv, Y.2    Guo, Z.3    Li, X.4    Li, Y.5    Zhu, J.6    Yang, D.7    Xu, J.8    Wang, C.9    Rao, S.10    Yang, B.11
  • 16
    • 0035999981 scopus 로고    scopus 로고
    • Making sense of microarray data distributions
    • Hoyle D. C., Rattray M., Jupp R., Brass A., Making sense of microarray data distributions Bioinformatics 2002 18 4 576 584
    • (2002) Bioinformatics , vol.18 , Issue.4 , pp. 576-584
    • Hoyle, D.C.1    Rattray, M.2    Jupp, R.3    Brass, A.4
  • 17
    • 60849113704 scopus 로고    scopus 로고
    • Comparison of Affymetrix data normalization methods using 6,926 experiments across five array generations
    • supplement 1, article S24
    • Autio R., Kilpinen S., Saarela M., Kallioniemi O., Hautaniemi S., Astola J., Comparison of Affymetrix data normalization methods using 6,926 experiments across five array generations BMC Bioinformatics 2009 10 supplement 1, article S24
    • (2009) BMC Bioinformatics , vol.10
    • Autio, R.1    Kilpinen, S.2    Saarela, M.3    Kallioniemi, O.4    Hautaniemi, S.5    Astola, J.6
  • 18
    • 0034927555 scopus 로고    scopus 로고
    • Analysis of variance for gene expression microarray data
    • DOI 10.1089/10665270050514954
    • Kerr M., Martin M., Churchill G. A., Analysis of variance for gene expression microarray data Computational Biology 2001 7 6 819 837 (Pubitemid 32692452)
    • (2001) Journal of Computational Biology , vol.7 , Issue.6 , pp. 819-837
    • Kerr, M.K.1    Martin, M.2    Churchill, G.A.3
  • 19
    • 0035032570 scopus 로고    scopus 로고
    • Statistical design and the analysis of gene expression microarray data
    • DOI 10.1017/S0016672301005055
    • Kerr M., Martin M., Churchill G. A., Statistical design and the analysis of gene expression microarray data Genetical Research 2001 77 2 123 128 (Pubitemid 32390329)
    • (2001) Genetical Research , vol.77 , Issue.2 , pp. 123-128
    • Kathleen Kerr, M.1    Churchill, G.A.2
  • 20
    • 8844283351 scopus 로고    scopus 로고
    • Which is better for cDNA-microarray-based classification: Ratios or direct intensities
    • Attoor S., Dougherty E. R., Chen Y., Bittner M. L., Trent J. M., Which is better for cDNA-microarray-based classification: ratios or direct intensities Bioinformatics 2004 20 16 2513 2520
    • (2004) Bioinformatics , vol.20 , Issue.16 , pp. 2513-2520
    • Attoor, S.1    Dougherty, E.R.2    Chen, Y.3    Bittner, M.L.4    Trent, J.M.5
  • 21
    • 0035875553 scopus 로고    scopus 로고
    • Issues in cDNA microarray analysis: Quality filtering, channel normalization, models of variations and assessment of gene effects
    • Tseng G. C., Oh M.-K., Rohlin L., Liao J. C., Wong W. H., Issues in cDNA microarray analysis: quality filtering, channel normalization, models of variations and assessment of gene effects Nucleic Acids Research 2001 29 12 2549 2557
    • (2001) Nucleic Acids Research , vol.29 , Issue.12 , pp. 2549-2557
    • Tseng, G.C.1    Oh, M.-K.2    Rohlin, L.3    Liao, J.C.4    Wong, W.H.5
  • 22
    • 0035999984 scopus 로고    scopus 로고
    • Binary analysis and optimization-based normalization of gene expression data
    • Shmulevich I., Zhang W., Binary analysis and optimization-based normalization of gene expression data Bioinformatics 2002 18 4 555 565 (Pubitemid 34521045)
    • (2002) Bioinformatics , vol.18 , Issue.4 , pp. 555-565
    • Shmulevich, I.1    Zhang, W.2
  • 23
    • 1342294092 scopus 로고    scopus 로고
    • Normalization for cDNA microarray data: A robust composite method addressing single and multiple slide systematic variation
    • article e15
    • Yang Y. H., Dudoit S., Luu P., Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation Nucleic Acids Research 2002 30 4, article e15
    • (2002) Nucleic Acids Research , vol.30 , Issue.4
    • Yang, Y.H.1    Dudoit, S.2    Luu, P.3
  • 24
    • 0036898577 scopus 로고    scopus 로고
    • Microarray data normalization and transformation
    • Quackenbush J., Microarray data normalization and transformation Nature Genetics 2002 32 5 496 501 (Pubitemid 35435152)
    • (2002) Nature Genetics , vol.32 , Issue.5 SUPPL. DEC. , pp. 496-501
    • Quackenbush, J.1
  • 25
    • 54549099006 scopus 로고    scopus 로고
    • Performance of feature-selection methods in the classification of high-dimension data
    • Hua J., Waibhav T., Dougherty E. R., Performance of feature-selection methods in the classification of high-dimension data Pattern Recognition 2009 42 3 409 424
    • (2009) Pattern Recognition , vol.42 , Issue.3 , pp. 409-424
    • Hua, J.1    Waibhav, T.2    Dougherty, E.R.3
  • 26
    • 33747418958 scopus 로고    scopus 로고
    • Dealing with gene expression missing data
    • DOI 10.1049/ip-syb:20050056
    • Brs L. P., Menezes J. C., Dealing with gene expression missing data IEE Proceedings Systems Biology 2006 153 3 105 119 (Pubitemid 44251349)
    • (2006) IEE Proceedings: Systems Biology , vol.153 , Issue.3 , pp. 105-119
    • Bras, L.P.1    Menezes, J.C.2
  • 27
    • 19344371607 scopus 로고    scopus 로고
    • Evaluation of missing value estimation for microarray data
    • Nguyen D., Wang N., Carroll R., Evaluation of missing value estimation for microarray data Journal of Data Science 2004 2 347 370
    • (2004) Journal of Data Science , vol.2 , pp. 347-370
    • Nguyen, D.1    Wang, N.2    Carroll, R.3
  • 30
    • 45449112561 scopus 로고    scopus 로고
    • The peaking phenomenon in the presence of feature-selection
    • Sima C., Dougherty E. R., The peaking phenomenon in the presence of feature-selection Pattern Recognition Letters 2008 29 11 1667 1674
    • (2008) Pattern Recognition Letters , vol.29 , Issue.11 , pp. 1667-1674
    • Sima, C.1    Dougherty, E.R.2
  • 33
    • 18244409687 scopus 로고    scopus 로고
    • Gene expression profiling predicts clinical outcome of breast cancer
    • Veer L., Dai H., Vijver M., Gene expression profiling predicts clinical outcome of breast cancer Nature 2002 415 6871 530 536
    • (2002) Nature , vol.415 , Issue.6871 , pp. 530-536
    • Veer, L.1    Dai, H.2    Vijver, M.3
  • 34
    • 0037137519 scopus 로고    scopus 로고
    • A gene-expression signature as a predictor of survival in breast cancer
    • Vijver M., He Y., Veer L., A gene-expression signature as a predictor of survival in breast cancer The New England Journal of Medicine 2002 347 25 1999 2009
    • (2002) The New England Journal of Medicine , vol.347 , Issue.25 , pp. 1999-2009
    • Vijver, M.1    He, Y.2    Veer, L.3


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