ArticleBioinformatics advances2025
A Kolmogorov metric embedding for live cell microscopy signaling patterns.
Article in Bioinformatics advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
8 authors.
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Abstract
Summary: We present a metric embedding that captures spatiotemporal patterns of cell signaling dynamics in 5D ( Availability and implementation: All of the software, including the phantom data generation and analysis, is available free and open-source, as described in the 'Data Availability' section.
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Registered trials
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