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Learning Single-Cell Perturbation Responses using Neural Optimal Transport

2022-07-07

Abstract excerpt

<title>Abstract</title> <p>Understanding and predicting molecular responses in single cells upon chemical, genetic, or mechanical perturbations is a core question in biology. Obtaining single-cell measurements typically requires the cells to be destroyed. This makes learning heterogeneous perturbation responses challenging as we only observe unpaired distributions of perturbed or nonperturbed cells. Here we lever...

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Literature Corpus work
41fefd1d-6f44-537d-b24a-7bf4b8ea68e3
DOI
10.21203/rs.3.rs-1805107/v1
Open publication

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Learning Single-Cell Perturbation Responses using Neural Optimal TransportDOI 10.21203/rs.3.rs-1805107/v1
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