Privacy preserving validation for multiomic prediction models

Reproducibility of results obtained using ribonucleic acid (RNA) data across labs remains a major hurdle in cancer research. Often, molecular predictors trained on one dataset cannot be applied to another due to differences in RNA library preparation and quantification, which inhibits the validation...

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Detalles Bibliográficos
Autores principales: Ahmed, Talal, Carty, Mark A, Wenric, Stephane, Dry, Jonathan R, Salahudeen, Ameen A, Khan, Aly A, Lefkofsky, Eric, Stumpe, Martin C, Pelossof, Raphael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116386/
https://www.ncbi.nlm.nih.gov/pubmed/35388408
http://dx.doi.org/10.1093/bib/bbac110

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116386/
https://www.ncbi.nlm.nih.gov/pubmed/35388408
http://dx.doi.org/10.1093/bib/bbac110

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