A statistical framework for modeling gene expression using chromatin features and application to modENCODE datasets.
Genome Biol
; 12(2): R15, 2011.
Article
em En
| MEDLINE
| ID: mdl-21324173
ABSTRACT
We develop a statistical framework to study the relationship between chromatin features and gene expression. This can be used to predict gene expression of protein coding genes, as well as microRNAs. We demonstrate the prediction in a variety of contexts, focusing particularly on the modENCODE worm datasets. Moreover, our framework reveals the positional contribution around genes (upstream or downstream) of distinct chromatin features to the overall prediction of expression levels.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Cromatina
/
Histonas
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Caenorhabditis elegans
/
Biologia Computacional
/
Perfilação da Expressão Gênica
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MicroRNAs
/
Mineração de Dados
Tipo de estudo:
Prognostic_studies
Limite:
Animals
/
Humans
Idioma:
En
Ano de publicação:
2011
Tipo de documento:
Article