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Benchmarking AI Models for <i>In Silico</i> Gene Perturbation of Cells

2024-12-22

Abstract excerpt

Understanding perturbations at the single-cell level is essential for unraveling cellular mechanisms and their implications in health and disease. The growing availability of biological data has driven the development of a variety of in silico perturbation methods designed for single-cell analysis, which offer a means to address many inherent limitations of experimental approaches. However, these computational me...

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Literature Corpus work
627d3a12-f3c4-52fe-8bef-28e46075f239
DOI
10.1101/2024.12.20.629581
Open publication

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Benchmarking AI Models for <i>In Silico</i> Gene Perturbation of CellsDOI 10.1101/2024.12.20.629581
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