13 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Spatial Single-Cell Analysis Toolkit | 15K | |
| Doublet detection in single-cell RNA-seq data. | 3K | |
| A toolkit of spatial transcriptomic analysis. | 2K | |
| A tool to generate coembeddings from IF image embeddings and PPI network embeddi... | 1K | |
| A collection of custom fractal tasks. | 552 | |
| Interactive and integrated analysis of multiplexed tissue microarrays | 393 | |
| Segmentation error aware clustering for multiplexed imaging | 276 | |
| Comprehensive spatial transcriptomics analysis library with advanced segmentatio... | 237 | |
| A package for clustering high-dimensional cytometry data in Python. | 237 | |
| scScope is a deep-learning based approach for single cell RNA-seq analysis. | 224 | |
| Reproducible boilerplate-free workflow management for Scanpy-based scRNA-seq ana... | 178 | |
| Data centric algorithm agnostic cytometry analysis framework | 131 | |
| scScope is a deep-learning based approach for single cell RNA-seq analysis. | 59 |
