SuperBianC/scMulan
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
This tool helps single-cell biologists and researchers analyze complex single-cell transcriptomics data. It takes your raw or preprocessed single-cell data and automatically identifies cell types, integrates data from different experimental batches, or even simulates how cells might change under specific conditions. Scientists working with cellular genomics will find this valuable for accelerating their research.
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Use this if you need to rapidly classify cell types in human tissues, combine single-cell datasets from various experiments, or model cellular responses without extensive prior training.
Not ideal if your primary need is for non-human cell type annotation or if you require deep, custom model training for highly specific, rare cell populations.
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62
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Jupyter Notebook
License
MIT
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Last pushed
May 30, 2024
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