Article

PICASA: Decomposing patient heterogeneity of single-cell cancer data by cross-attention neural networks

2025-06-06

Abstract excerpt

<h4>Motivation</h4> Gene expression variation in cancer cells is attributed to many inherited and environmental factors, including genetic variants and cellular landscapes. Decomposing different sources of information is intractable with single-cell RNA-seq alone. However, we show that our new approach, PICASA, can split them with the help of multiple patients, assuming that cell types are widely shared and genet...

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Literature Corpus work: 6439b0e7-ecc6-58c8-a2d4-eb8ca9adfc03
DOI: 10.1101/2025.06.04.25328900

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