Article

Single-cell-level condition-related signal estimation with batch effect removal through neural discrete representation learning

2025-03-10

Abstract excerpt

Advances in single-cell sequencing techniques and the growing volume of single-cell data have created unprecedented opportunities for uncovering the changes in gene expression patterns induced by perturbations or associated with diseases. However, batch effects and non-linearity in single-cell data make single-cell-level estimation challenging. To address these drawbacks, we developed NDreamer, an approach that co...

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Literature Corpus work: 4258221b-85ac-55eb-8031-a6f611e72a95
DOI: 10.1101/2025.03.05.641743

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