A statistical framework for biomedical literature mining.

ABSTRACT: In systems biology, it is of great interest to identify new genes that were not previously reported to be associated with biological pathways related to various functions and diseases. Identification of these new pathway-modulating genes does not only promote understanding of pathway regulation mechanisms but also allow identification of novel targets for therapeutics. Recently, biomedical literature has been considered as a valuable resource to investigate pathway-modulating genes. While the majority of currently available approaches are based on the co-occurrence of genes within an abstract, it has been reported that these approaches show only sub-optimal performances because 70% of abstracts contain information only for a single gene. To overcome such limitation, we propose a novel stat

SUBMITTER: Chung D 

PROVIDER: S-EPMC5657248 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature