Contextualizing Genes by Using Text-Mined Co-Occurrence Features for Cancer Gene Panel Discovery

Contextualizing Genes by Using Text-Mined Co-Occurrence Features for Cancer Gene Panel Discovery

Developing a biomedical-explainable and validatable text mining pipeline can help in cancer gene panel discovery. We create a pipeline that can contextualize genes by using text-mined co-occurrence features. We apply Biomedical Natural Language Processing (BioNLP) techniques for literature mining in...

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Bibliographic Details
Main Authors: Hui-O Chen, Peng-Chan Lin, Chen-Ruei Liu, Chi-Shiang Wang, Jung-Hsien Chiang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Genetics
Subjects:
biomedical natural language processing
machine learning
topic modeling
cancer gene panel
text mining
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.771435/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2021.771435/full

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