Identification of most influential co-occurring gene suites for gastrointestinal cancer using biomedical literature mining and graph-based influence maximization

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...

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Bibliographic Details
Main Authors: Charles C. N. Wang, Jennifer Jin, Jan-Gowth Chang, Masahiro Hayakawa, Atsushi Kitazawa, Jeffrey J. P. Tsai, Phillip C.-Y. Sheu
Format: Article
Language:English
Published: BMC 2020-09-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Gastrointestinal cancer
Text mining
Bi-LSTM-CNN-CRF
Influence maximization
Co-occurrence network
Online Access:http://link.springer.com/article/10.1186/s12911-020-01227-6

Internet

http://link.springer.com/article/10.1186/s12911-020-01227-6

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