Identification of most influential co-occurring gene suites for gastrointestinal cancer using biomedical literature mining and graph-based influence maximization
Abstract Background Gastrointestinal (GI) cancer including colorectal cancer, gastric cancer, pancreatic cancer, etc., are among the most frequent malignancies diagnosed annually and represent a major public health problem worldwide. Methods This paper reports an aided curation pipeline to identify...
Main Authors: | Charles C. N. Wang, Jennifer Jin, Jan-Gowth Chang, Masahiro Hayakawa, Atsushi Kitazawa, Jeffrey J. P. Tsai, Phillip C.-Y. Sheu |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-09-01
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Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12911-020-01227-6 |
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