scanpy and scXpand
scXpand is a specialized analysis tool that depends on scanpy's foundational single-cell processing pipeline to detect T-cell clonal expansion from the RNA-seq data that scanpy has preprocessed and normalized.
About scanpy
scverse/scanpy
Single-cell analysis in Python. Scales to >100M cells.
This tool helps biologists and researchers analyze single-cell gene expression data to understand cell types and states. It takes raw gene expression measurements from individual cells and helps visualize, cluster, and identify differences between cell populations. It's used by scientists working with large-scale single-cell omics data.
About scXpand
yizhak-lab-ccg/scXpand
scXpand: detection of T-cell clonal expansion from single-cell RNA sequencing
This tool helps cancer researchers and immunologists analyze single-cell RNA sequencing data to identify T-cell clonal expansion, which is crucial for understanding immune responses in cancer. It takes your raw UMI counts from single-cell RNA sequencing of T-cells as input and outputs predictions about which T-cells have clonally expanded. This is designed for scientists working with immunology and oncology data.
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