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Benchmarking a foundational cell model for post-perturbation RNAseq prediction

2024-10-01

Abstract excerpt

Accurately predicting cellular responses to perturbations is essential for understanding cell behaviour in both healthy and diseased states. While perturbation data is ideal for building such predictive models, it is considerably sparser than baseline (non-perturbed) cellular data. To address this limitation, several foundational cell models have been developed using large-scale single-cell gene expression data. T...

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Literature Corpus work
783b3e94-47fe-5f1d-b9fb-3398779ca3d6
DOI
10.1101/2024.09.30.615843
Open publication

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Benchmarking a foundational cell model for post-perturbation RNAseq predictionDOI 10.1101/2024.09.30.615843
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