KrishnaswamyLab / MELD
Quantifying experimental perturbations at single cell resolution
☆105Updated last month
Related projects ⓘ
Alternatives and complementary repositories for MELD
- A collection of scripts and tools for loading, processing, and handling single cell data.☆72Updated last year
- DIALOGUE is a dimensionality reduction method that uses cross-cell-type associations to identify multicellular programs (MCPs) and map th…☆105Updated 9 months ago
- A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.☆53Updated 7 months ago
- Multi-omic velocity inference☆107Updated 3 weeks ago
- spatial transcriptome, single cell☆65Updated last year
- Single-Cell Clustering Assessment Framework☆93Updated last year
- ☆97Updated last year
- ☆126Updated last year
- Multimodal Data (.h5mu) implementation for Python☆78Updated last month
- ☆44Updated last year
- Geometry-preserving random sampling☆75Updated 3 weeks ago
- CZ CELLxGENE Discover Census☆86Updated this week
- A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to repr…☆93Updated this week
- Batch balanced KNN☆149Updated last year
- Snakemake pipeline that works with the scIB package to benchmark data integration methods.☆66Updated last year
- Python client for the OmniPath web service☆39Updated 5 months ago
- Awesome list of tools and methods to perform spatial transcriptomic data analysis.☆38Updated 3 years ago
- MultiMAP for integration of single cell multi-omics☆53Updated last year
- Models and datasets for perturbational single-cell omics☆143Updated 2 years ago
- Python implementation of the Slingshot pseudotime algorithm☆51Updated 6 months ago
- Single-cell Hierarchical Poisson Factorization☆66Updated 2 years ago
- Python implementation of Milo for differential abundance testing on KNN graph☆60Updated last year
- ☆48Updated 10 months ago
- Additional code and analysis from the single-cell integration benchmarking project☆55Updated last year
- Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with mill…☆98Updated 3 weeks ago
- Multi-omics factor analysis v2☆36Updated last month
- A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA seq…☆54Updated last month
- Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Gen…☆41Updated 2 years ago
- ☆48Updated 5 years ago
- Task-based gene regulatory network inference using single-cell or bulk gene expression data conditioned on a prior network.☆46Updated 4 months ago