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This skill empowers Claude to perform advanced single-cell genomics analysis using the scvi-tools framework, a Python library for probabilistic modeling. It facilitates the implementation of deep generative models across diverse modalities—including scRNA-seq, scATAC-seq, and spatial transcriptomics—enabling researchers to handle technical batch effects, integrate multimodal datasets, and perform statistically rigorous differential expression analysis within a unified PyTorch-based ecosystem. It is particularly useful for scientists and bioinformaticians looking to leverage variational inference for high-dimensional biological data.
