Robust identification of temporal biomarkers in longitudinal omics studies

MOTIVATION: Longitudinal studies increasingly collect rich ‘omics’ data sampled frequently over time and across large cohorts to capture dynamic health fluctuations and disease transitions. However, the generation of longitudinal omics data has preceded the development of analysis tools that can eff...

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Detalles Bibliográficos
Autores principales: Metwally, Ahmed A, Zhang, Tom, Wu, Si, Kellogg, Ryan, Zhou, Wenyu, Contrepois, Kevin, Tang, Hua, Snyder, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344853/
https://www.ncbi.nlm.nih.gov/pubmed/35762936
http://dx.doi.org/10.1093/bioinformatics/btac403

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344853/
https://www.ncbi.nlm.nih.gov/pubmed/35762936
http://dx.doi.org/10.1093/bioinformatics/btac403

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