Directional association test reveals high-quality putative cancer driver biomarkers including noncoding RNAs

BACKGROUND: Most statistical methods used to identify cancer driver genes are either biased due to choice of assumed parametric models or insensitive to directional relationships important for causal inference. To overcome modeling biases and directional insensitivity, a recent statistical functiona...

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Detalles Bibliográficos
Autores principales: Zhong, Hua, Song, Mingzhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6936152/
https://www.ncbi.nlm.nih.gov/pubmed/31888644
http://dx.doi.org/10.1186/s12920-019-0565-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6936152/
https://www.ncbi.nlm.nih.gov/pubmed/31888644
http://dx.doi.org/10.1186/s12920-019-0565-9

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