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Items: 1 to 20 of 134

1.

LSimpute: accurate estimation of missing values in microarray data with least squares methods.

Bø TH, Dysvik B, Jonassen I.

Nucleic Acids Res. 2004 Feb 20;32(3):e34.

2.

Collateral missing value imputation: a new robust missing value estimation algorithm for microarray data.

Sehgal MS, Gondal I, Dooley LS.

Bioinformatics. 2005 May 15;21(10):2417-23.

3.

Towards clustering of incomplete microarray data without the use of imputation.

Kim DW, Lee KY, Lee KH, Lee D.

Bioinformatics. 2007 Jan 1;23(1):107-13.

4.

Missing value estimation methods for DNA microarrays.

Troyanskaya O, Cantor M, Sherlock G, Brown P, Hastie T, Tibshirani R, Botstein D, Altman RB.

Bioinformatics. 2001 Jun;17(6):520-5.

5.

Missing value estimation for DNA microarray gene expression data: local least squares imputation.

Kim H, Golub GH, Park H.

Bioinformatics. 2005 Jan 15;21(2):187-98. Erratum in: Bioinformatics. 2006 Jun 1;22(11):1410-1.

6.

Ameliorative missing value imputation for robust biological knowledge inference.

Sehgal MS, Gondal I, Dooley LS, Coppel R.

J Biomed Inform. 2008 Aug;41(4):499-514. doi: 10.1016/j.jbi.2007.10.005.

7.

Two-pass imputation algorithm for missing value estimation in gene expression time series.

Tsiporkova E, Boeva V.

J Bioinform Comput Biol. 2007 Oct;5(5):1005-22.

PMID:
17933008
8.

Improving missing value estimation in microarray data with gene ontology.

Tuikkala J, Elo L, Nevalainen OS, Aittokallio T.

Bioinformatics. 2006 Mar 1;22(5):566-72.

9.
11.

Improving missing value imputation of microarray data by using spot quality weights.

Johansson P, Häkkinen J.

BMC Bioinformatics. 2006 Jun 16;7:306.

12.

Robust imputation method for missing values in microarray data.

Yoon D, Lee EK, Park T.

BMC Bioinformatics. 2007 May 3;8 Suppl 2:S6.

13.

Comparative analysis of missing value imputation methods to improve clustering and interpretation of microarray experiments.

Celton M, Malpertuy A, Lelandais G, de Brevern AG.

BMC Genomics. 2010 Jan 7;11:15. doi: 10.1186/1471-2164-11-15.

14.

Iterated local least squares microarray missing value imputation.

Cai Z, Heydari M, Lin G.

J Bioinform Comput Biol. 2006 Oct;4(5):935-57.

PMID:
17099935
15.

Missing value imputation in DNA microarrays based on conjugate gradient method.

Dorri F, Azmi P, Dorri F.

Comput Biol Med. 2012 Feb;42(2):222-7. doi: 10.1016/j.compbiomed.2011.11.011.

PMID:
22154717
16.

Shrinkage regression-based methods for microarray missing value imputation.

Wang H, Chiu CC, Wu YC, Wu WS.

BMC Syst Biol. 2013;7 Suppl 6:S11. doi: 10.1186/1752-0509-7-S6-S11.

17.

The influence of missing value imputation on detection of differentially expressed genes from microarray data.

Scheel I, Aldrin M, Glad IK, Sørum R, Lyng H, Frigessi A.

Bioinformatics. 2005 Dec 1;21(23):4272-9.

18.

A Bayesian missing value estimation method for gene expression profile data.

Oba S, Sato MA, Takemasa I, Monden M, Matsubara K, Ishii S.

Bioinformatics. 2003 Nov 1;19(16):2088-96.

19.

Missing value imputation for microarray data: a comprehensive comparison study and a web tool.

Chiu CC, Chan SY, Wang CC, Wu WS.

BMC Syst Biol. 2013;7 Suppl 6:S12. doi: 10.1186/1752-0509-7-S6-S12.

20.

Improving cluster-based missing value estimation of DNA microarray data.

Brás LP, Menezes JC.

Biomol Eng. 2007 Jun;24(2):273-82.

PMID:
17493870
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