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.

scanpy
82
Verified
scXpand
49
Emerging
Maintenance 17/25
Adoption 15/25
Maturity 25/25
Community 25/25
Maintenance 6/25
Adoption 4/25
Maturity 24/25
Community 15/25
Stars: 2,367
Forks: 719
Downloads:
Commits (30d): 20
Language: Python
License: BSD-3-Clause
Stars: 8
Forks: 4
Downloads:
Commits (30d): 0
Language: Python
License: MIT
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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.

single-cell genomics gene expression analysis bioinformatics cell biology research biomedical data science

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.

cancer-research immunology single-cell-sequencing T-cell-analysis biomarker-discovery

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