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Items: 1 to 20 of 135

1.

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.

2.

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.

PMID:
16873504
3.

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.

PMID:
17309894
4.

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.

PMID:
16533818
5.

Modeling recurrent DNA copy number alterations in array CGH data.

Shah SP, Lam WL, Ng RT, Murphy KP.

Bioinformatics. 2007 Jul 1;23(13):i450-8.

PMID:
17646330
6.

RJaCGH: Bayesian analysis of aCGH arrays for detecting copy number changes and recurrent regions.

Rueda OM, Diaz-Uriarte R.

Bioinformatics. 2009 Aug 1;25(15):1959-60. doi: 10.1093/bioinformatics/btp307. Epub 2009 May 6.

7.

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.

PMID:
18689815
8.

A segmental maximum a posteriori approach to genome-wide copy number profiling.

Andersson R, Bruder CE, Piotrowski A, Menzel U, Nord H, Sandgren J, Hvidsten TR, Diaz de Ståhl T, Dumanski JP, Komorowski J.

Bioinformatics. 2008 Mar 15;24(6):751-8. doi: 10.1093/bioinformatics/btn003. Epub 2008 Jan 19.

PMID:
18204059
9.

Classification of arrayCGH data using fused SVM.

Rapaport F, Barillot E, Vert JP.

Bioinformatics. 2008 Jul 1;24(13):i375-82. doi: 10.1093/bioinformatics/btn188.

10.

A segmentation/clustering model for the analysis of array CGH data.

Picard F, Robin S, Lebarbier E, Daudin JJ.

Biometrics. 2007 Sep;63(3):758-66.

PMID:
17825008
11.

Classification and feature selection algorithms for multi-class CGH data.

Liu J, Ranka S, Kahveci T.

Bioinformatics. 2008 Jul 1;24(13):i86-95. doi: 10.1093/bioinformatics/btn145.

12.

Optimization of probe coverage for high-resolution oligonucleotide aCGH.

Lipson D, Yakhini Z, Aumann Y.

Bioinformatics. 2007 Jan 15;23(2):e77-83.

PMID:
17237109
13.

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.

14.

Robust smooth segmentation approach for array CGH data analysis.

Huang J, Gusnanto A, O'Sullivan K, Staaf J, Borg A, Pawitan Y.

Bioinformatics. 2007 Sep 15;23(18):2463-9. Epub 2007 Jul 27.

PMID:
17660206
15.

Accurate detection of aneuploidies in array CGH and gene expression microarray data.

Myers CL, Dunham MJ, Kung SY, Troyanskaya OG.

Bioinformatics. 2004 Dec 12;20(18):3533-43. Epub 2004 Jul 29.

PMID:
15284100
16.

High-resolution genomic and expression analyses of copy number alterations in HER2-amplified breast cancer.

Staaf J, Jönsson G, Ringnér M, Vallon-Christersson J, Grabau D, Arason A, Gunnarsson H, Agnarsson BA, Malmström PO, Johannsson OT, Loman N, Barkardottir RB, Borg A.

Breast Cancer Res. 2010;12(3):R25. doi: 10.1186/bcr2568. Epub 2010 May 6.

18.

Detection of gene copy number changes in CGH microarrays using a spatially correlated mixture model.

Broët P, Richardson S.

Bioinformatics. 2006 Apr 15;22(8):911-8. Epub 2006 Feb 2.

PMID:
16455750
19.

SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.

Lai C, Horlings HM, van de Vijver MJ, van Beers EH, Nederlof PM, Wessels LF, Reinders MJ.

BMC Bioinformatics. 2007 Oct 30;8:422.

20.

Analysis of array CGH data for cancer studies using fused quantile regression.

Li Y, Zhu J.

Bioinformatics. 2007 Sep 15;23(18):2470-6. Epub 2007 Jul 20.

PMID:
17644559

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