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Multi-omic machine learning overcomes transcriptomic blind spots to rescue therapeutic targets in ALS

2026-08-14

Abstract excerpt

<title>Abstract</title> <p> Amyotrophic lateral sclerosis (ALS) lacks effective therapies partly because transcriptomic screens cannot distinguish disease-relevant genes from downstream perturbations. Here we integrate a cross-tissue meta-analysis of 13 datasets (1,227 samples; CNS, myeloid, lymphoid, and mesenchymal domains) with an explainable machine learning framework trained on evolutionary constraint, brai...

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Literature Corpus work
f58d5b5d-9fb5-560e-af34-9ee79cb4a492
DOI
10.21203/rs.3.rs-9305370/v1
Open publication

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Multi-omic machine learning overcomes transcriptomic blind spots to rescue therapeutic targets in ALSDOI 10.21203/rs.3.rs-9305370/v1
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