Article

GOTFlow: Learning Directed Population Transitions from Cross-Sectional Biomedical Data with Optimal Transport

2026-03-18

Abstract excerpt

<h4>Motivation</h4> Many biological and clinical processes are dynamic, yet most datasets are cross-sectional, capturing populations at discrete states rather than tracking individuals over time. This makes it difficult to quantify how populations change across developmental, physiological, or disease-associated conditions. Existing trajectory and transport-based methods often rely on fixed feature spaces, assump...

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Literature Corpus work: 8aab45ca-e02a-54fe-be95-c011b3bbcec5
DOI: 10.64898/2026.03.16.712005

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