Temporal ordering of omics and multiomic events inferred from time-series data

Temporal changes in omics events can now be routinely measured; however, current analysis methods are often inadequate, especially for multiomics experiments. We report a novel analysis method that can infer event ordering at better temporal resolution than the experiment, and integrates omic events...

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Detalles Bibliográficos
Autores principales: Kaur, Sandeep, Peters, Timothy J., Yang, Pengyi, Luu, Laurence Don Wai, Vuong, Jenny, Krycer, James R., O’Donoghue, Seán I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Brief Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7366653/
https://www.ncbi.nlm.nih.gov/pubmed/32678105
http://dx.doi.org/10.1038/s41540-020-0141-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7366653/
https://www.ncbi.nlm.nih.gov/pubmed/32678105
http://dx.doi.org/10.1038/s41540-020-0141-0

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