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New Morse Transform Enhances Discrete Shape Analysis for Virtual Screening

By PulseAugur Editorial · [1 sources] ·

A new topological transform, the Morse Transform, has been developed to numerically describe the geometry of objects for statistical inference and classification tasks. This method leverages Morse theory to catalog critical points across multiple height-functions, retaining finer shape information than existing transforms. The Morse feature vector has been benchmarked as a descriptor for ligand-based virtual screening, achieving the highest mean AUROC compared to other topological and standard shape-based descriptors. AI

RANK_REASON Academic paper detailing a new mathematical transform for shape analysis. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Morse Transform Enhances Discrete Shape Analysis for Virtual Screening

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Academic paper detailing a new mathematical transform for shape analysis. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Alexander M. Tanaka, Aras T. Asaad, Richard Cooper, Vidit Nanda ·

    The Morse Transform for Discrete Shape Analysis

    arXiv:2503.04507v2 Announce Type: replace-cross Abstract: The geometry of an object plays a vital role in modulating its interactions with the physical world. It nevertheless remains difficult to describe geometric information numerically for the purposes of statistical inference…

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