Article

evoCancerGPT: Generating Zero-Shot Single-Cell and Single-Sample Cancer Progression Through Transfer Learning

2026-02-14

Abstract excerpt

Cancer evolution is driven by complex changes in gene expression as cells transition and change states during tumorigenesis. Single-cell RNA sequencing has provided snapshot insights into how the transcriptomics of tumors evolve, but whether the existing knowledge can be used to reliably learn and generate the patterns behind the evolution of cancers remains unknown. Here, we introduce evoCancerGPT, a generative p...

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Literature Corpus work: bb7a0cd7-44cd-5609-8da0-f62044233eca
DOI: 10.64898/2026.02.12.705621

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