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Directing cellular transitions on gene graph-enhanced cell state manifold

2024-10-29

Abstract excerpt

A select few genes act as pivotal drivers in the process of cell state transitions. However, finding key genes involved in different transitions is challenging. To address this problem, we present CellNavi, a deep learning-based framework designed to predict genes that drive cell state transitions. CellNavi builds a driver gene predictor upon a cell state manifold, which captures the intrinsic features of cells by...

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Identifiers and source

Literature Corpus work
2fd007b3-1d7d-557a-8fb2-3e87d476d00b
DOI
10.1101/2024.10.27.620174
Open publication

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Directing cellular transitions on gene graph-enhanced cell state manifoldDOI 10.1101/2024.10.27.620174
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