Article

Causal inference using deep-learning variable selection identifies and incorporates direct and indirect causalities in complex biological systems

2021-07-19

Abstract excerpt

<h4>ABSTRACT</h4> In complex diseases, causal structure learning across biological variables is critical to identify modifiable triggers or potential therapeutic agents. A limitation of existing causal learning methods is that they cannot identify indirect causal relations, those that would interact through latent mediating variables. We developed the first computational method that identifies both direct and ind...

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Literature Corpus work: c88e161e-e98e-54c9-a60b-abe5fd7d6287
DOI: 10.1101/2021.07.17.452800

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