Editorial: Computational methods to analyze RNA data for human diseases

Pingjian Ding; Min Zeng; Rui Yin

doi:10.3389/fgene.2023.1270334

Editorial: Computational methods to analyze RNA data for human diseases

Front Genet. 2023 Aug 22:14:1270334. doi: 10.3389/fgene.2023.1270334. eCollection 2023.

Authors

Pingjian Ding¹, Min Zeng², Rui Yin³

Affiliations

¹ Center for Artificial Intelligence in Drug Discovery, School of Medicine, Case Western Reserve University, Cleveland, OH, United States.
² School of Computer Science and Engineering, Central South University, Changsha, China.
³ Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, United States.

No abstract available

Keywords: LnRNA; RNA; RNA virus; ceRNA network; human disease; machine learning/statistics; miRNA.

Publication types

Editorial

Grants and funding

This study was partially supported by grants from Centers for Disease Control and Prevention (1U18DP006512), National Institute of Environmental Health Sciences (R21ES032762) and the NIH National Center for Advancing Translational Sciences (UL1TR001427).