Article

Evaluation of Generative AI Models for Processing Single-Cell RNA-Sequencing Data in Human Pancreatic Tissue

2025-01-19

Abstract excerpt

Single-cell RNA-seq (scRNAseq) analyses performed at the cellular level aim to understand the cellular landscape of tissue sections, offer insights into rare cell-types, and identify marker genes for annotating distinct cell types. Additionally, scRNAseq analyses are widely applied to cancer research to understand tumor heterogeneity, disease progression, and resistance to therapy. Single-cell data processing is a...

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Literature Corpus work: 44c6e81a-f1b1-5d0f-823d-2c79c0d6fc3a
DOI: 10.1101/2025.01.15.633192

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