434 articles – 313 references  [version française]
Short view
Detection of gene copy number changes in CGH microarrays using a spatially correlated mixture model.
Broët P., Richardson S.
Bioinformatics 22 (2006) 911-8 - http://www.hal.inserm.fr/inserm-00085340
(16455750)
Detection of gene copy number changes in CGH microarrays using a spatially correlated mixture model.
Philippe Broët1, Sylvia Richardson2
1:  Recherche en épidémiologie et biostatistique
INSERM : IFR69 – Université Paris XI - Paris Sud
16, Avenue Paul Vaillant-Couturier 94807 VILLEJUIF CEDEX
France
2:  Department of Epidemiology and Public Health
Imperial College Norfolk Place
London W2 1PG
France
MOTIVATION: Comparative genomic hybridization array experiments that investigate gene copy number changes present new challenges for statistical analysis and call for methods that incorporate spatial dependence between sequences along the chromosome. For this purpose, we propose a novel method called CGHmix. It is based on a spatially structured mixture model with three states corresponding to genomic sequences that are either unmodified, deleted or amplified. Inference is performed in a Bayesian framework. From the output, posterior probabilities of belonging to each of the three states are estimated for each genomic sequence and used to classify them. RESULTS: Using simulated data, CGHmix is validated and compared with both a conventional unstructured mixture model and with a recently proposed data mining method. We demonstrate the good performance of CGHmix for classifying copy number changes. In addition, the method provides a good estimate of the false discovery rate. We also present the analysis of a cancer related dataset. SUPPLEMENTARY INFORMATION: http://www.bgx.org.uk/papers.html
Life Sciences/Health Care Sciences and Epidemiology
Life Sciences/Bioinformatics and Systemic Biology
Life Sciences/Biochemistry, Molecular Biology
English
1367-4803

Article in peer-reviewed journal
10.1093/bioinformatics/btl035
Bioinformatics (Bioinformatics)
Publisher Oxford University Press (OUP): Policy B - Oxford Open Option B
ISSN 1367-4803 (eISSN : 1460-2059)
2006
22
911-8

Algorithms – Chromosome Mapping – Computer Simulation – Gene Dosage – In Situ Hybridization – Models – Genetic – Oligonucleotide Array Sequence Analysis – Research Support – Non-U.S. Gov't – Sequence Analysis – DNA – Statistics