Identifying external communication signals using single-cell transcriptomics data
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Updated
Jun 10, 2024 - HTML
Identifying external communication signals using single-cell transcriptomics data
scCellFie offers advanced analysis of metabolic functions from single-cell and spatial transcriptomics. Efficient and user-friendly, it runs on Python and integrates with Scanpy, enabling single-cell and spatial analysis of metabolic tasks.
Guide and links related to bulk and single-cell RNA-Seq experiments.
ASURAT: functional annotation-driven unsupervised clustering of single-cell transcriptomes
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