Reverse Dependencies of phenograph

The following projects have a declared dependency on phenograph:

• biostarling — Segmentation error aware clustering single-cell spatial expression data
• cellmaps-coembedding — A tool to generate coembeddings from IF image embeddings and PPI network embeddings
• cytocluster — A package for clustering high-dimensional cytometry data in Python.
• cytopy — Data centric algorithm agnostic cytometry analysis framework
• doubletdetection — Method to detect and enable removal of doublets from single-cell RNA-sequencing.
• dpi-sc — An end-to-end single-cell multimodal analysis model with deep parameter inference.
• gfpa — Gene function and cell surface protein association analysis based on single-cell multiomics data.
• Mistic — Mistic: A package for rendering multiple multiplexed images simultaneously
• napari-prism — A Python package for the inteRactive and Integrated analySis of Multiplexed tissue microarrays
• pmap3.0.7 — TEST PMAP
• pmap3.0.8 — TEST PMAP
• scimap — Spatial Single-Cell Analysis Toolkit
• scmvae — a comprehensive single-cell multimodal analysis python package based on mixed variational autoencoder
• scScope — scScope is a deep-learning based approach for single cell RNA-seq analysis.
• scScope-cpu — scScope is a deep-learning based approach for single cell RNA-seq analysis.