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Volumn 31, Issue 5-6, 2007, Pages 320-327

Sequential imputation for missing values

Author keywords

Imputation methods; Microarray data; Missing genes

Indexed keywords

COMPUTATIONAL METHODS; DATABASE SYSTEMS; GLOBAL OPTIMIZATION; MICROARRAYS;

EID: 34948862822     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2007.07.001     Document Type: Article
Times cited : (44)

References (19)
  • 2
    • 78651329401 scopus 로고    scopus 로고
    • Bayesian PCA
    • Kearns M.S., Solla S.A., and Cohn D.A. (Eds)
    • Bishop C.M. Bayesian PCA. In: Kearns M.S., Solla S.A., and Cohn D.A. (Eds). Advances in Neural Information Processing Systems vol. 11 (1998) 382-388
    • (1998) Advances in Neural Information Processing Systems , vol.11 , pp. 382-388
    • Bishop, C.M.1
  • 3
    • 2342646842 scopus 로고    scopus 로고
    • LSimpute: accurate estimation of missing values in microarray data with least squares methods
    • Bø T.H., Dysvik B., and Jonassen I. LSimpute: accurate estimation of missing values in microarray data with least squares methods. Nucleic Acids Res. 32 3 (2004) e34
    • (2004) Nucleic Acids Res. , vol.32 , Issue.3
    • Bø, T.H.1    Dysvik, B.2    Jonassen, I.3
  • 4
    • 33646671261 scopus 로고    scopus 로고
    • A simultaneous reconstruction of missing data in DNA microarrays
    • Friedland S., Niknejad A., and Chihara L. A simultaneous reconstruction of missing data in DNA microarrays. Linear Algebra Appl. 416 (2006) 8-28
    • (2006) Linear Algebra Appl. , vol.416 , pp. 8-28
    • Friedland, S.1    Niknejad, A.2    Chihara, L.3
  • 5
    • 33645468884 scopus 로고    scopus 로고
    • Microarray missing data imputation based on a set theoretic framework and biological knowledge
    • Gan X., Liew A.W.-C., and Yan H. Microarray missing data imputation based on a set theoretic framework and biological knowledge. Nucleic Acids Res. 34 5 (2006) 1608-1619
    • (2006) Nucleic Acids Res. , vol.34 , Issue.5 , pp. 1608-1619
    • Gan, X.1    Liew, A.W.-C.2    Yan, H.3
  • 8
    • 13244298228 scopus 로고    scopus 로고
    • Reuse of imputed data in microarray increases imputation efficiency
    • Kim K.-Y., Kim B.-J., and Yi G.-Su. Reuse of imputed data in microarray increases imputation efficiency. BMC Bioinformatics 5 (2004) 160
    • (2004) BMC Bioinformatics , vol.5 , pp. 160
    • Kim, K.-Y.1    Kim, B.-J.2    Yi, G.-Su.3
  • 9
    • 13444304426 scopus 로고    scopus 로고
    • Missing value estimation for DNA microarray gene expression data: local least squares imputation
    • Kim H., Golub G.H., and Park H. Missing value estimation for DNA microarray gene expression data: local least squares imputation. Bioinformatics 21 (2005) 187-198
    • (2005) Bioinformatics , vol.21 , pp. 187-198
    • Kim, H.1    Golub, G.H.2    Park, H.3
  • 10
    • 19344371607 scopus 로고    scopus 로고
    • Evaluation of missing value estimation for microarray data
    • Nguyen D.V., Wang N., and Carroll R.J. Evaluation of missing value estimation for microarray data. J. Data Sci. 2 (2004) 347-370
    • (2004) J. Data Sci. , vol.2 , pp. 347-370
    • Nguyen, D.V.1    Wang, N.2    Carroll, R.J.3
  • 13
    • 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., Sørum R., Lyng H., and Frigessi A. The influence of missing value imputation on detection of differentially expressed genes from microarray data. Bioinformatics 21 (2005) 4272-4279
    • (2005) Bioinformatics , vol.21 , pp. 4272-4279
    • Scheel, I.1    Aldrin, M.2    Glad, I.K.3    Sørum, R.4    Lyng, H.5    Frigessi, A.6
  • 14
    • 19644375092 scopus 로고    scopus 로고
    • Collateral missing value imputation: a new robust missing value estimation algorithm for microarray data
    • Seghal M.S.B., Gondal I., and Dooley L.S. Collateral missing value imputation: a new robust missing value estimation algorithm for microarray data. Bioinformatics 21 (2005) 2417-2423
    • (2005) Bioinformatics , vol.21 , pp. 2417-2423
    • Seghal, M.S.B.1    Gondal, I.2    Dooley, L.S.3
  • 16
    • 0035965017 scopus 로고    scopus 로고
    • Tutorial, Dealing with missing data. Part I
    • Walczak B., and Massart D.L. Tutorial, Dealing with missing data. Part I. Chemometr. Intell. Lab. 58 (2001) 15-27
    • (2001) Chemometr. Intell. Lab. , vol.58 , pp. 15-27
    • Walczak, B.1    Massart, D.L.2
  • 17
    • 0000217549 scopus 로고
    • The sequential generation of D-optimum experimental designs
    • Wynn H.P. The sequential generation of D-optimum experimental designs. Ann. Math. Stat. 41 (1970) 1655-1664
    • (1970) Ann. Math. Stat. , vol.41 , pp. 1655-1664
    • Wynn, H.P.1
  • 18
    • 0037163129 scopus 로고    scopus 로고
    • Genome-wide analysis of gene expression regulated by the Calcineurin/Crzlp signaling pathway in Saccharomyces cerevisiae
    • Yoshimoto H., Saltsman K., Gasch A.P., Li H.X., Ogawa N.D.B., Brown P.O., and Cyert M.S. Genome-wide analysis of gene expression regulated by the Calcineurin/Crzlp signaling pathway in Saccharomyces cerevisiae. J. Biol. Chem. 277 34 (2002) 31079-31088
    • (2002) J. Biol. Chem. , vol.277 , Issue.34 , pp. 31079-31088
    • Yoshimoto, H.1    Saltsman, K.2    Gasch, A.P.3    Li, H.X.4    Ogawa, N.D.B.5    Brown, P.O.6    Cyert, M.S.7
  • 19
    • 0344033642 scopus 로고    scopus 로고
    • Missing-value estimation using linear and non-linear regression with Bayesian gene selection
    • Zhou X., Wang X., and Dougherty E.R. Missing-value estimation using linear and non-linear regression with Bayesian gene selection. Bioinformatics 19 (2003) 2302-2307
    • (2003) Bioinformatics , vol.19 , pp. 2302-2307
    • Zhou, X.1    Wang, X.2    Dougherty, E.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.