Article

inVAE: Conditionally invariant representation learning for generating multivariate single-cell reference maps

2024-12-12

Abstract excerpt

Single-cell data is driving new insights into the spatiotemporal dynamics of cells and individual disease susceptibility. However, accurately identifying cell states across diverse cohorts remains challenging, as both biological variation and technical biases cause distributional shifts in the data. Separating these effects is crucial for capturing cellular heterogeneity and ensuring interpretability. To address t...

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Literature Corpus work: 443c7df8-4b8f-544f-be9a-1a36072c8b41
DOI: 10.1101/2024.12.06.627196

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