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Lung_Stack

Inference scRNAsq atlas after neoadjuvant ICT based on treatment-naive samples with in-context learning single cell LLM

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Lung_stack is a customized adaptation of the Stack single-cell foundation model for fine-tuning on paired lung cancer single-cell RNA-seq data. This model is designed for lung cancer neoadjuvant therapy data, using treatment-naive pre-biopsy cells and post-surgery cells to study therapy-associated cellular state transitions with ICL framework.

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