Machine Learning-Based Integrated Multiomics Characterization of Colorectal Cancer Reveals Distinctive Metabolic Signatures

Author:

Zheng Ran1,Su Rui1,Fan Yusi2,Xing Fan1,Huang Keke1ORCID,Yan Fei1ORCID,Chen Huanwen3,Liu Botong1,Fang Laiping1,Du Yechao4,Zhou Fengfeng2ORCID,Wang Daguang5,Feng Shouhua1ORCID

Affiliation:

1. State Key Laboratory of Inorganic Synthesis and Preparative Chemistry, College of Chemistry, Jilin University, Changchun 130021, China

2. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Software, Jilin University, Changchun 130021, China

3. School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang 330004, China

4. Department of General Surgery Center, First Hospital of Jilin University, 1 Xinmin Street Changchun, Jilin 130012, China

5. Department of Gastric Colorectal and Anal Surgery, First Hospital of Jilin University, 1 Xinmin Street Changchun, Jilin 130012, China

Funder

Jilin University

National Natural Science Foundation of China

Senior and Junior Technological Innovation Team

Publisher

American Chemical Society (ACS)

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