In:
Biostatistics, Oxford University Press (OUP), Vol. 11, No. 3 ( 2010-07-01), p. 515-518
Abstract:
Array comparative genomic hybridization (aCGH) is a microarray technology that allows one to detect and map genomic alterations. The standard workflow of the aCGH data analysis consists of 2 steps: detecting the boundaries of the regions of changed copy number by means of a segmentation algorithm (break point identification) and then labeling each region as loss, neutral, or gain with a probabilistic framework (calling procedure). In this paper, we introduce a novel calling procedure based on a mixture of truncated normal distributions, named FastCall, that aims to give aberration probabilities to segmented aCGH data in a very fast and accurate way. Both on synthetic and real aCGH data, FastCall obtains excellent performances in terms of classification accuracy and running time.
Type of Medium:
Online Resource
ISSN:
1468-4357
,
1465-4644
DOI:
10.1093/biostatistics/kxq008
Language:
English
Publisher:
Oxford University Press (OUP)
Publication Date:
2010
detail.hit.zdb_id:
2020601-X
SSG:
12
Bookmarklink
