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MEGA-ODE: Learning Biologically Structured and Navigable Continuous Perturbation Dynamics from Sparse Omics

2026-08-05

Abstract excerpt

Perturbation-omics experiments usually measure only a subset of molecular feature, intervention and time space, leaving many response trajectories, perturbation effects and disease- or differentiation-associated transitions unobserved. Here we present MEGA-ODE, a graph-constrained continuous-time framework for reconstructing sparse dynamic omics landscapes, predicting unmeasured molecular states and prioritizing v...

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Literature Corpus work
71b0a032-5bd5-5b0d-85b2-b13704007158
DOI
10.64898/2026.08.05.742921
Open publication

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MEGA-ODE: Learning Biologically Structured and Navigable Continuous Perturbation Dynamics from Sparse OmicsDOI 10.64898/2026.08.05.742921
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