scverse / muon-tutorialsLinks
Tutorials for multimodal omics data analysis
☆17Updated 7 months ago
Alternatives and similar repositories for muon-tutorials
Users that are interested in muon-tutorials are comparing it to the libraries listed below
Sorting:
- Multi-modal single cell analysis pipelines☆59Updated this week
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago
- ☆26Updated 4 months ago
- ☆61Updated last year
- ACTIONet single-cell analysis framework☆42Updated last year
- Analyzing cellular niches in spatial transcriptomics data☆30Updated 10 months ago
- ☆49Updated 7 months ago
- ☆56Updated last year
- cTPnet Package☆25Updated 3 years ago
- Multiple trajectory alignment of time-series data☆13Updated last year
- Vector representations of gene co-expression in single cell RNAseq.☆36Updated 4 months ago
- Utilizing single-cell omics from patients tumor to predict response and resistance.☆71Updated 2 years ago
- Python package for integrating and analyzing multiple single-cell datasets (A Python version of LIGER)☆30Updated 4 months ago
- Gene group activity utility functions for Scanpy☆90Updated 9 months ago
- Spatially-resolved Transcriptomics via Epitope Anchoring☆19Updated last year
- Reproducing result from the paper☆34Updated 4 years ago
- Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…☆21Updated 4 months ago
- Work with trained factor models in Python☆35Updated 11 months ago
- ☆55Updated last year
- Reproducing the experiments of the DestVI paper☆19Updated 3 years ago
- Materials and scripts for building cell type encyclopedia table☆20Updated this week
- BESCA (Beyond Single Cell Analysis) offers python functions for single-cell analysis☆50Updated 4 months ago
- SCeptre is a python package that extends the functionalities of Scanpy to analyze multiplexed single-cell proteomics data.☆17Updated last year
- scMEGA: Single-cell Multiomic Enhancer-based Gene regulAtory network inference☆40Updated last year
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 3 years ago
- Multimodal weakly supervised learning to identify disease-specific changes in single-cell atlases☆35Updated this week
- ☆16Updated last year
- User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins☆65Updated last month
- ☆54Updated 11 months ago
- repository containing analysis scripts and auxiliary files☆36Updated 5 years ago