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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2019
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| 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 |