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Do-calculus enables estimation of causal effects in partially observed biomolecular pathways. (arXiv:2102.06626v2 [cs.LG] UPDATED)
Oct. 26, 2022, 1:12 a.m. | Sara Mohammad-Taheri, Jeremy Zucker, Charles Tapley Hoyt, Karen Sachs, Vartika Tewari, Robert Ness, and Olga Vitek
cs.LG updates on arXiv.org arxiv.org
Estimating causal queries, such as changes in protein abundance in response
to a perturbation, is a fundamental task in the analysis of biomolecular
pathways. The estimation requires experimental measurements on the pathway
components. However, in practice many pathway components are left unobserved
(latent) because they are either unknown, or difficult to measure. Latent
variable models (LVMs) are well-suited for such estimation. Unfortunately,
LVM-based estimation of causal queries can be inaccurate when parameters of the
latent variables are not uniquely identified, …
More from arxiv.org / cs.LG updates on arXiv.org
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