会议论文

Shen, Xianjun;Jiang, Xingpeng

英文

2019 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)

2156-1125

2019

240-243

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

IEEE International Conference on Bioinformatics and Biomedicine-BIBM

NOV 18-21, 2019

San Diego, CA

[Yu, Limin;Shen, Xianjun;Jiang, Xingpeng;Yang, Jincai;Yang, Yujuan;Zhong, Duo] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.^[Yu, Limin;Shen, Xianjun;Jiang, Xingpeng;Yang, Jincai;Yang, Yujuan;Zhong, Duo] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan, Hubei, Peoples R China.

IEEE, NSF

Yoo, IH Bi, JB Hu, X

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-7281-1867-3

Self-determined Research Funds of CCNU from the Colleges' Basic Research and Operation of MOE [CCNU19QD003]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61532008, 61872157]; National Language Commission Key Research Project [ZDI135-61]

本校为第一且通讯机构

Microbial ecosystems are complex, by analyzing co-occurrence modules of microbial communities, we can better understand the conditions of microbial interactions in each environment, and help understand the interaction patterns that maintain the stability of microbial communities. Imbalances in human microbiome are closely related to human disease. Previous modular clustering analysis was based only on the relationship between paired microorganisms. In this paper, we propose calculating the logical relationship between microbial triplet in human body by information entropy and construct a hyper...