theislab / spatial_scog_workshop_2022Links
Tutorials for the SCOG Virtual Workshop ‘Spatial transcriptomics data analysis in Python’ - May 23-24, 2022
☆54Updated 3 years ago
Alternatives and similar repositories for spatial_scog_workshop_2022
Users that are interested in spatial_scog_workshop_2022 are comparing it to the libraries listed below
Sorting:
- ☆129Updated last year
- Clone Calling from Visium Spatial Transcriptomics of Cancer samples☆88Updated 3 years ago
- BANKSY: spatial clustering☆134Updated 3 months ago
- ST Pipeline contains the tools and scripts needed to process and analyze the raw files generated with the Spatial Transcriptomics method …☆88Updated last week
- CytoSPACE: Optimal mapping of scRNA-seq data to spatial transcriptomics data☆138Updated 11 months ago
- Join subcellular Visium HD bins into cells☆132Updated 3 months ago
- A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.☆149Updated 2 weeks ago
- A Bayesian model for compositional single-cell data analysis☆187Updated 3 weeks ago
- Spatial mapping of cell types by integration of transcriptomics data☆100Updated 3 years ago
- ☆129Updated 3 years ago
- Python implementation of Milo for differential abundance testing on KNN graph☆81Updated 11 months ago
- Snakemake pipeline that works with the scIB package to benchmark data integration methods.☆81Updated last year
- Direct estimation of mean and covariance from single cell RNA seq experiments☆127Updated 8 months ago
- Analysis of cell-cell communication at single-cell resolution☆106Updated last year
- Significance analysis for clustering single-cell RNA-sequencing data☆123Updated last year
- ☆45Updated 9 months ago
- Repository for ENACT pipeline for end-to-end analysis of Visium HD data☆72Updated 7 months ago
- A tool for semi-automatic cell type harmonization and integration☆117Updated 3 months ago
- Associated code to the manuscript "Characterization of immune cell populations in the tumor microenvironment of colorectal cancer using h…☆109Updated 7 months ago
- pycisTopic is a Python module to simultaneously identify cell states and cis-regulatory topics from single cell epigenomics data.☆79Updated this week
- ☆59Updated 5 years ago
- SEACells algorithm for Inference of transcriptional and epigenomic cellular states from single-cell genomics data☆178Updated 10 months ago
- Code used to benchmark Xenium☆73Updated last year
- Code for reproducing the analysis in Gavish et al. "The transcriptional hallmarks of intra-tumor heterogeneity across a thousand tumors".☆131Updated last year
- R package for semi-supervised single-cell data integration☆95Updated last week
- Inference of RNA velocity modules for prediction of cell fates and integration with spatial and regulatory models.☆84Updated 10 months ago
- Data processing and analysis related code associated with the study "A single-cell and spatially resolved atlas of human breast cancers".☆125Updated last year
- ☆87Updated last week
- Single-Cell Clustering Assessment Framework☆107Updated 2 years ago
- TACCO: Transfer of Annotations to Cells and their COmbinations☆62Updated 5 months ago