Using epigenomics data to predict gene expression in lung cancer

BACKGROUND: Epigenetic alterations are known to correlate with changes in gene expression among various diseases including cancers. However, quantitative models that accurately predict the up or down regulation of gene expression are currently lacking. METHODS: A new machine learning-based method of...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Jeffery, Ching, Travers, Huang, Sijia, Garmire, Lana X
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4402699/
https://www.ncbi.nlm.nih.gov/pubmed/25861082
http://dx.doi.org/10.1186/1471-2105-16-S5-S10

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4402699/
https://www.ncbi.nlm.nih.gov/pubmed/25861082
http://dx.doi.org/10.1186/1471-2105-16-S5-S10

Ejemplares similares