Novartis / scar
scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics
☆50Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for scar
- ☆34Updated 6 months ago
- Multi-resolution Variational Inference☆22Updated last month
- ☆40Updated 3 weeks ago
- Inference of RNA velocity modules for prediction of cell fates and integration with spatial and regulatory models.☆36Updated 2 months ago
- AnnData interoperability in R☆60Updated last week
- Quasilinear data representations for single-cell omics data analysis☆42Updated last year
- Code to reproduce the analysis of "Decoding gene regulation in the mouse embryo using single-cell multi-omics""☆40Updated 2 years ago
- ☆32Updated 2 months ago
- Covarying neighborhood analysis (CNA) is a method for finding structure in- and conducting association analysis with multi-sample single-…☆45Updated last month
- Geometry-preserving random sampling☆75Updated 3 weeks ago
- Gene regulatory network containing signed transcription factor-target gene interactions☆64Updated 7 months ago
- User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins☆57Updated 5 months ago
- Framework for sensitive DE testing (using neighbourhoods)☆59Updated 4 months ago
- .h5mu files interface for Seurat☆26Updated 11 months ago
- psupertime is pseudotime ordering for single cell RNA-seq data with sequential labels☆38Updated 2 years ago
- Single cell omics biology annotations☆48Updated 2 months ago
- Python implementation of Milo for differential abundance testing on KNN graph☆60Updated last year
- R package for decontaminating the spot swapping effect and recovering true expression in spatial transcriptomics data☆24Updated 5 months ago
- Coarse-graining of large single-cell RNA-seq data into metacells☆68Updated 2 months ago
- Cell type pipes for R☆51Updated 9 months ago
- Snakemake pipeline that works with the scIB package to benchmark data integration methods.☆66Updated last year
- pycisTopic is a Python module to simultaneously identify cell states and cis-regulatory topics from single cell epigenomics data.☆58Updated last week
- Latent Embedding Multivariate Regression☆82Updated this week
- Single Cell Transcriptomics of 25 Human Organs to Create a Tabula Sapiens☆40Updated last year
- Gene group activity utility functions for Scanpy☆56Updated 3 months ago
- marker-based purification of cell types from single-cell RNA-seq datasets☆92Updated 5 months ago
- Single-Cell Analysis of Inter-Individual Variability by Interpretable Tensor Decomposition☆54Updated 7 months ago
- Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.☆60Updated 6 months ago
- Direct estimation of mean and covariance from single cell RNA seq experiments☆76Updated 5 months ago
- Filtering of Poison noise on a single-cell RNA-seq UMI count matrix☆69Updated 11 months ago