Subjective View on TDA within Life Sciences

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• Wojciech Chachólski (KTH - Royal Institute of Technology)
• Tuesday 24 June 2025, 10:10-10:45
• External.

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OFBW73 - Topological Advances in the Life Sciences

The development of informative vector representations for text, languages, protein interactions, and other complex data has revolutionized how we analyze, organize, and extract insights, exemplified by advancements in large language models and generative AI. Similarly, creating effective vectorizations for geometry holds the promise of equally transformative and far-reaching impacts. In my talk I will describe a geometrical vectorization framework based on homology called stable rank. I will provide several illustrative examples of how to use stable ranks to find meaningful results in biological data.

This talk is part of the Isaac Newton Institute Seminar Series series.

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