Work

Geometric graph neural networks on multi-omics data to predict cancer survival outcomes

Year: 2023

Type: article

Source: Computers in Biology and Medicine

DOI: 10.1016/j.compbiomed.2023.107117

Authors: Jiening Zhu, Jung Hun Oh, Anish K. Simhal, Rena Elkin, Larry Norton, Joseph O. Deasy, Allen Tannenbaum

Institutions: Stony Brook University, Memorial Sloan Kettering Cancer Center

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: Breast Cancer Research Foundation, Memorial Sloan-Kettering Cancer Center, Cure Alzheimer's Fund, National Institutes of Health, National Institute on Aging, National Cancer Institute, Air Force Office of Scientific Research, Army Research Office

Awards: G1484013328, G1523888516, G2051006376, G24641535, G289723095, G36446433, G3978591521, Glymphatic function in a transgenic rat model of Alzheimer's disease, G4757223689, G5729145195, G7228553140, G782458776, G9000003249, Cancer Center Support Grant

OpenAlex ID: W4380154190

FWCI: 3.372

Cites: 35

Cited by: 39

Related to: 10