There are 3 repositories under scanpy topic.
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
🏆 #1 Multi-LLM consensus framework | 550+ stars | 95% accuracy | 10+ LLM providers | Leading cell annotation tool
Enables cellxgene to generate violin, stacked violin, stacked bar, heatmap, volcano, embedding, dot, track, density, 2D density, sankey and dual-gene plot in high-resolution SVG/PNG format. It also performs differential gene expression analysis and provides a Command Line Interface (CLI) for advanced users to perform analysis using python and R.
Cell type annotation with local Large Language Models (LLMs) - Ensuring privacy and speed with extensive customized reports
Convert between AnnData and SingleCellExperiment
Bring your single-cell data to life
Multi-agent driven cell type annotation for single-cell RNA-Seq data stored in Anndata format
pseudobulking on an AnnData object
Translates an AnnData object with mouse gene symbols into one with human gene symbols by mapping orthologs from biomart.
This repository extends scanpy to handle flow and mass cytometry data.
Notes and studies about single-cell RNA-Seq analysis
MiCV is a python dash-based web-application that enables researchers to upload raw scRNA-seq data and perform filtering, analysis, and manual annotation.
Workflow leveraging the scanpy-scripts package to run Scanpy in a Nextflow workflow
orthomap is a python package to extract orthologous maps (in other words the evolutionary age of a given orthologous group) from OrthoFinder/eggNOG results. Orthomap results (gene ages per orthogroup) can be further used to calculate weigthed expression data (transcriptome evolutionary index) from scRNA sequencing objects.
Sobolev alignment of deep probabilistic models for comparing single cell profiles
Single-cell temporal analysis of neutrophils using DRVI
An easy-to-use PyTorch implementation of Automatic Cell-Types Identification of single-cell RNA sequencing using Neural Networks (ACTINN)
Python pipelines for analysis of adipocyte scRNA-seq data
Single-cell data analysis toolkit built with Julia and inspired by Scanpy.
A bioinformatics web app for single cell RNA seq analysis.
GRaph-based Analysis of Subcellular/Spatial Proteomics
Review on Single Cell RNA-sequencing
Multimodal datasets, in MuData format
One liner tool to check the quality of your single-cell atlases.
Intuitive Nonparametric Gene Network Search Algorithm
Integration analysis with Scanpy and scRNAseq TME from blueprint
Main projects during my current position in Petr Baranov Lab | Schepens Eye Research Institute, Mass General Hospital, Harvard Medical School