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

Sun M, Li L, Xiao H, Feng J, Wang J, Wan S
Frontiers in genetics · 2023 · doi:10.3389/fgene.2023.1256468 · PMID:37554403 · PMC10406377
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This editorial outlines the bioinformatics analysis of omics data for biomarker identification in clinical research, noting support from the Buffet Cancer Center and UNMC grants.

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This editorial outlines the scope and objectives of a special volume dedicated to bioinformatics analysis of omics data for biomarker identification in clinical research. It acknowledges support from the Buffet Cancer Center and the UNMC Alcohol Center of Research-Nebraska while declaring no commercial conflicts of interest among the authors. The text serves as an introductory framework for subsequent articles rather than presenting original experimental findings or specific disease mechanisms. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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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.

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The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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