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Items: 1 to 20 of 123

1.

A hidden Markov model-based algorithm for identifying tumour subtype using array CGH data.

Zhang K, Yang Y, Devanarayan V, Xie L, Deng Y, Donald S.

BMC Genomics. 2011 Dec 23;12 Suppl 5:S10. doi: 10.1186/1471-2164-12-S5-S10. Epub 2011 Dec 23.

2.

Continuous-index hidden Markov modelling of array CGH copy number data.

Stjernqvist S, Rydén T, Sköld M, Staaf J.

Bioinformatics. 2007 Apr 15;23(8):1006-14. Epub 2007 Feb 19.

3.

A shifting level model algorithm that identifies aberrations in array-CGH data.

Magi A, Benelli M, Marseglia G, Nannetti G, Scordo MR, Torricelli F.

Biostatistics. 2010 Apr;11(2):265-80. doi: 10.1093/biostatistics/kxp051. Epub 2009 Nov 30.

4.

A probe-density-based analysis method for array CGH data: simulation, normalization and centralization.

Chen HI, Hsu FH, Jiang Y, Tsai MH, Yang PC, Meltzer PS, Chuang EY, Chen Y.

Bioinformatics. 2008 Aug 15;24(16):1749-56. doi: 10.1093/bioinformatics/btn321. Epub 2008 Jul 4.

5.

Model-based clustering of array CGH data.

Shah SP, Cheung KJ Jr, Johnson NA, Alain G, Gascoyne RD, Horsman DE, Ng RT, Murphy KP.

Bioinformatics. 2009 Jun 15;25(12):i30-8. doi: 10.1093/bioinformatics/btp205.

6.

A Hidden Markov Model to estimate population mixture and allelic copy-numbers in cancers using Affymetrix SNP arrays.

Lamy P, Andersen CL, Dyrskjot L, Torring N, Wiuf C.

BMC Bioinformatics. 2007 Nov 9;8:434.

7.

HaplotypeCN: copy number haplotype inference with Hidden Markov Model and localized haplotype clustering.

Lin YJ, Chen YT, Hsu SN, Peng CH, Tang CY, Yen TC, Hsieh WP.

PLoS One. 2014 May 21;9(5):e96841. doi: 10.1371/journal.pone.0096841. eCollection 2014.

8.

A modified hyperplane clustering algorithm allows for efficient and accurate clustering of extremely large datasets.

Sharma A, Podolsky R, Zhao J, McIndoe RA.

Bioinformatics. 2009 May 1;25(9):1152-7. doi: 10.1093/bioinformatics/btp123. Epub 2009 Mar 4.

9.

CGHPRO -- a comprehensive data analysis tool for array CGH.

Chen W, Erdogan F, Ropers HH, Lenzner S, Ullmann R.

BMC Bioinformatics. 2005 Apr 5;6:85.

10.

Implementing EM and Viterbi algorithms for Hidden Markov Model in linear memory.

Churbanov A, Winters-Hilt S.

BMC Bioinformatics. 2008 Apr 30;9:224. doi: 10.1186/1471-2105-9-224.

11.

Accurate confidence aware clustering of array CGH tumor profiles.

van Houte BP, Heringa J.

Bioinformatics. 2010 Jan 1;26(1):6-14. doi: 10.1093/bioinformatics/btp603. Epub 2009 Oct 21.

12.

BioHMM: a heterogeneous hidden Markov model for segmenting array CGH data.

Marioni JC, Thorne NP, Tavaré S.

Bioinformatics. 2006 May 1;22(9):1144-6. Epub 2006 Mar 13.

13.

Mining gene expression data using a novel approach based on hidden Markov models.

Ji X, Li-Ling J, Sun Z.

FEBS Lett. 2003 May 8;542(1-3):125-31.

14.

Integrating copy number polymorphisms into array CGH analysis using a robust HMM.

Shah SP, Xuan X, DeLeeuw RJ, Khojasteh M, Lam WL, Ng R, Murphy KP.

Bioinformatics. 2006 Jul 15;22(14):e431-9.

15.

Clustering ionic flow blockade toggles with a mixture of HMMs.

Churbanov A, Winters-Hilt S.

BMC Bioinformatics. 2008 Aug 12;9 Suppl 9:S13. doi: 10.1186/1471-2105-9-S9-S13.

16.

A fast and flexible method for the segmentation of aCGH data.

Ben-Yaacov E, Eldar YC.

Bioinformatics. 2008 Aug 15;24(16):i139-45. doi: 10.1093/bioinformatics/btn272.

17.

Supervised cluster analysis for microarray data based on multivariate Gaussian mixture.

Qu Y, Xu S.

Bioinformatics. 2004 Aug 12;20(12):1905-13. Epub 2004 Mar 25.

18.

A latent class model with hidden Markov dependence for array CGH data.

DeSantis SM, Houseman EA, Coull BA, Louis DN, Mohapatra G, Betensky RA.

Biometrics. 2009 Dec;65(4):1296-305. doi: 10.1111/j.1541-0420.2009.01226.x. Epub .

19.

Flexible and accurate detection of genomic copy-number changes from aCGH.

Rueda OM, Díaz-Uriarte R.

PLoS Comput Biol. 2007 Jun;3(6):e122. Epub 2007 May 16.

20.

HMMGEP: clustering gene expression data using hidden Markov models.

Ji X, Yuan Y, Li-Ling J, Li Y, Sun Z.

Bioinformatics. 2004 Jul 22;20(11):1799-800. Epub 2004 Feb 26.

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