Unknown

Dataset Information

An analysis of disease-gene relationship from Medline abstracts by DigSee.


ABSTRACT: Diseases are developed by abnormal behavior of genes in biological events such as gene regulation, mutation, phosphorylation, and epigenetics and post-translational modification. Many studies of text mining attempted to identify the relationship between gene and disease by mining the literature, but they did not consider the biological events in which genes show abnormal behaviour in response to diseases. In this study, we propose to identify disease-related genes that are involved in the development of disease through biological events from Medline abstracts. We identified associations between 13,054 genes and 4,494 disease types, which cover more disease-related genes than manually curated databases for all disease types (e.g., Online Mendelian Inheritance in Man) and also than those for

SUBMITTER: Kim J 

PROVIDER: S-EPMC5215527 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature