Identifying Robust Microbiota Signatures and Interpretable Rules to Distinguish Cancer Subtypes

Identifying Robust Microbiota Signatures and Interpretable Rules to Distinguish Cancer Subtypes

Cancer can be generally defined as a cluster of systematic diseases triggered by abnormal cell proliferation and growth. With the development of biological sciences and biotechnologies, the etiology of cancer is partially revealed, including some of the most substantial pathogenic factors [either en...

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Bibliographic Details
Main Authors: Lei Chen, Zhandong Li, Tao Zeng, Yu-Hang Zhang, Dejing Liu, Hao Li, Tao Huang, Yu-Dong Cai
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Molecular Biosciences
Subjects:
cancer type
microbiota
machine learning algorithm
decision tree
rules
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2020.604794/full

Internet

https://www.frontiersin.org/articles/10.3389/fmolb.2020.604794/full

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