Comparison of different functional prediction scores using a gene-based permutation model for identifying cancer driver genes

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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Bibliographic Details
Main Authors: Alice Djotsa Nono, Ken Chen, Xiaoming Liu
Format: Article
Language:English
Published: BMC 2019-01-01
Series:BMC Medical Genomics
Subjects:
Cancer genomics
Driver genes
Function prediction method
Computational evaluation
Bioinformatics
Whole genome sequencing
Online Access:http://link.springer.com/article/10.1186/s12920-018-0452-9

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http://link.springer.com/article/10.1186/s12920-018-0452-9

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