Directional association test reveals high-quality putative cancer driver biomarkers including noncoding RNAs
Abstract 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 f...
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| Format: | Book |
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BMC,
2019-12-01T00:00:00Z.
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| Call Number: |
A1234.567 |
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