Do-calculus enables estimation of causal effects in partially observed biomolecular pathways.

ABSTRACT:

Motivation

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, or when the number of latent variables is misspecified. This has limited the use of LVMs for causal inference in biomolecular pathways.

Results

In this article, we propose a general and practical ap

SUBMITTER: Mohammad-Taheri S 

PROVIDER: S-EPMC9235495 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature