Editorial: Bioinformatics analysis of omics data for biomarker identification in clinical research, Volume II

Mengtao Sun; Lusheng Li; Hanyu Xiao; Junxi Feng; Jieqiong Wang; Shibiao Wan

doi:10.3389/fgene.2023.1256468

Editorial: Bioinformatics analysis of omics data for biomarker identification in clinical research, Volume II

Front Genet. 2023 Jul 24:14:1256468. doi: 10.3389/fgene.2023.1256468. eCollection 2023.

Authors

Mengtao Sun¹, Lusheng Li¹, Hanyu Xiao¹, Junxi Feng², Jieqiong Wang³, Shibiao Wan¹

Affiliations

¹ Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States.
² Department of Biostatistics, Harvard School of Public Health, Boston, MA, United States.
³ Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, United States.

No abstract available

Keywords: bioinformatics; biomarker; clinical research; machine learning; omics data.

Publication types

Editorial

Grants and funding

This work was supported by the Buffet Cancer Center, which is supported by the National Cancer Institute under award number CA036727, in collaboration with the UNMC/Children’s Hospital & Medical Center Child Health Research Institute Pediatric Cancer Research Group. This work was also partly supported by the UNMC Alcohol Center of Research-Nebraska (ACORN) pilot grant.