Global Genetics Research in Prostate Cancer: A Text Mining and Computational Network Theory Approach

Global Genetics Research in Prostate Cancer: A Text Mining and Computational Network Theory Approach

Prostate cancer is the most common cancer type in men in Finland and second worldwide. In this paper, we analyze almost 150, 000 published papers about prostate cancer, authored by ten thousands of scientists worldwide, with an integrated text mining and computational network theory approach. We dem...

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Bibliographic Details
Main Authors: Md. Facihul Azam, Aliyu Musa, Matthias Dehmer, Olli P. Yli-Harja, Frank Emmert-Streib
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-02-01
Series:Frontiers in Genetics
Subjects:
prostate cancer
text mining
natural language processing
network science
genetics
biomedical text mining
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.00070/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2019.00070/full

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