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Article

Reconstructing disease dynamics for mechanistic insights and clinical benefit

27 Oct 2023

Abstract excerpt

Diseases change over time, both phenotypically and in their underlying molecular processes. Though understanding disease progression dynamics is critical for diagnostics and treatment, capturing these dynamics is difficult due to their complexity and the high heterogeneity in disease development between individuals. We present TimeAx, an algorithm which builds a comparative framework for capturing disease...

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PMID: 37891175
DOI: 10.1038/s41467-023-42354-8

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