Essential Regression: A generalizable framework for inferring causal latent factors from multi-omic datasets

High-dimensional cellular and molecular profiling of biological samples highlights the need for analytical approaches that can integrate multi-omic datasets to generate prioritized causal inferences. Current methods are limited by high dimensionality of the combined datasets, the differences in thei...

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Detalles Bibliográficos
Autores principales: Bing, Xin, Lovelace, Tyler, Bunea, Florentina, Wegkamp, Marten, Kasturi, Sudhir Pai, Singh, Harinder, Benos, Panayiotis V., Das, Jishnu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122954/
https://www.ncbi.nlm.nih.gov/pubmed/35607614
http://dx.doi.org/10.1016/j.patter.2022.100473

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122954/
https://www.ncbi.nlm.nih.gov/pubmed/35607614
http://dx.doi.org/10.1016/j.patter.2022.100473

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