Work

MB-SupCon: Microbiome-based Predictive Models via Supervised Contrastive Learning

Year: 2022

Type: article

Source: Journal of Molecular Biology

DOI: 10.1016/j.jmb.2022.167693

Authors: Sen Yang, Shidan Wang, Yiqing Wang, Ruichen Rong, Jiwoong Kim, Bo Li, Andrew Y. Koh, Guanghua Xiao, Qiwei Li, Dajiang J. Liu, Xiaowei Zhan

Institutions: Southern Methodist University, The University of Texas Southwestern Medical Center, Harold C. Simmons Comprehensive Cancer Center, The University of Texas at Dallas, Pennsylvania State University

Language: English

Topic: Gut microbiota and health

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Human Genome Research Institute, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases

Awards: Method to Enhance the Rare Variant Genetic Architecture Analysis in Meta-Analyses, Antigen-independent prediction and biomarker identification of cancer-specific T cells, Tools for integrative genomics and disease association study for the X chromosome, Methods to Identify, Validate & Interpret GWAS Loci in Multi-ethnic Meta-analysis, Role of Gut Microbiota in Modulating Immune Checkpoint Inhibitory Therapy for Cancer, Novel computational approaches to predict drug response and combination effects, Antibiotic Resistance Determination Utilizing Machine Learning, Mentoring Patient Oriented Research in the Microbiome of Cancer and Stem Cell Transplant Patients, Informatics Tools To Analyze And Model Whole Slide Image Data At The Single Cell Level, Methods to unveil sex-specific genetic architecture in trans-ancestry meta-analysis

OpenAlex ID: W4283657261

FWCI: 0.489

Cites: 26

Cited by: 8

Related to: 10