Comparison of different functional prediction scores using a gene-based permutation model for identifying cancer driver genes
Abstract Background Identifying cancer driver genes (CDG) is a crucial step in cancer genomic toward the advancement of precision medicine. However, driver gene discovery is a very challenging task because we are not only dealing with huge amount of data; but we are also faced with the complexity of...
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Main Authors: | Alice Djotsa Nono (Author), Ken Chen (Author), Xiaoming Liu (Author) |
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Format: | Book |
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BMC,
2019-01-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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