A very fast and accurate method for calling aberrations in array-CGH data.
Biostatistics
; 11(3): 515-8, 2010 Jul.
Article
en En
| MEDLINE
| ID: mdl-20207682
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.
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Análisis de Secuencia por Matrices de Oligonucleótidos
/
Hibridación Genómica Comparativa
Idioma:
En
Revista:
Biostatistics
Año:
2010
Tipo del documento:
Article
País de afiliación:
Italia