会议论文

Shen, XJ

英文

Lecture Notes in Computer Science

0302-9743

2024

14954

196-211

20th International Symposium on Bioinformatics Research and Applications (ISBRA)

Lecture Notes in Bioinformatics

JUL 19-21, 2024

Kunming, PEOPLES R CHINA

[Chen, Xinzi;Li, Pei;Zhao, Weizhong;Jiang, Xingpeng;Shen, Xianjun] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan 430079, Hubei, Peoples R China.^[Chen, Xinzi;Li, Pei;Zhao, Weizhong;Jiang, Xingpeng;Shen, Xianjun] Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.^[Chen, Xinzi;Li, Pei;Zhao, Weizhong;Jiang, Xingpeng;Shen, Xianjun] Cent China Normal Univ, Natl Language Resources Monitoring & Res Ctr Netw, Wuhan 430079, Hubei, Peoples R China.

Peng, W Cai, Z Skums, P

152 BEACH ROAD, #21-01/04 GATEWAY EAST, SINGAPORE, 189721, SINGAPORE

SPRINGER-VERLAG SINGAPORE PTE LTD

978-981-97-5127-3; 978-981-97-5128-0

10.1007/978-981-97-5128-0_16

National Natural Science Foundation of China [62372205, 61932008]; National Language Commission Key Research Project [ZDI145-56]; Fundamental Research Funds for Central Universities [KJ02502022-0450]; National High-end Foreign Expert Cooperation Project [G2022158003L]; Natural Science Foundation of Hubei Province of China [2022CFB289]

本校为第一且通讯机构

The metabolome serves as a crucial intermediary between the microbiome and its host, playing a key role in revealing their biological functions. Previous research has established connections between various microbiomes and metabolomes through correlation and association analyses. Although traditional statistical analysis methods have been used to quantify microbe-metabolite correlations, they do not fully elucidate the biological connections between these associated pairs. In recent years, some models based on networks have been proposed to predict microbe-metabolite interactions. However, rel...