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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| 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 |