CORDIS Project
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This project develops a machine learning model called DeepCell to predict cellular responses to drug-induced changes using single-cell genomics. By integrating multi-omics data, it aims to optimize treatment strategies for various cell types, particularly in the context of drug discovery and gene regulation.
Advances in single-cell genomics (SCG) allow us to read out a cell’s molecular state with unprecedented detail, increasingly so across perturbations.
To fully understand a cellular system, one must be able to predict its internal state in response to all perturbations.
Yet such modeling in SCG is currently limited to descriptive statistics.
Building upon my expertise in machine learning, I propose to systematically model a cell’s behavior under perturbation, focusing on the largely untouched are…
HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH
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United Kingdom, SAFFRON WALDEN
Type: Research institute
Activity type: Research Organisations
SME: No
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