Work

GIN-CRC-Pareto: A graph-based pareto-optimized multi-task learning framework to identify miRNA-target interactions in colorectal cancer

Year: 2026

Type: article

Source: Journal of Biomedical Informatics

DOI: 10.1016/j.jbi.2026.105099

Authors: Lin Li, Qiang Yang, Lu Li, Hongru Zhao, Jie Xu, Mingyi Xie, Rui Yin

Institutions: University of Florida, University of Florida Health

Language: English

Topic: MicroRNA in disease regulation

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Science Foundation, Elsa U. Pardee Foundation, Florida Department of Health, University of Memphis, University of Florida Health, National Institute of General Medical Sciences

Awards: G4779238238, Equipment: MRI: Track 2 Acquisition of a HPC Cluster for Fostering Interdisciplinary Collaboration on AI-driven and Data-intensive Research and Education in West Tennessee, Molecular mechanisms for regulating microRNA levels in metazoans

OpenAlex ID: W7210293239

FWCI: 2.803

Cites: 43

Cited by: 1

Related to: 10