ImXman / MACA
MACA: Marker-based automatic cell-type annotation for single cell expression data
☆25Updated last year
Related projects ⓘ
Alternatives and complementary repositories for MACA
- cell type deconvolution for multi-condition bulk RNA-seq data☆22Updated 2 years ago
- ☆37Updated 10 months ago
- ☆27Updated 3 months ago
- ☆41Updated 3 months ago
- Aligning gene expression trajectories of single-cell reference and query systems☆46Updated last month
- A manually curated database of literature-supported ligand-receptor interactions in human and mouse☆26Updated 4 months ago
- A unified interface to spatial transcriptomics deconvolution tools☆36Updated 2 weeks ago
- Trajectory inference across multiple conditions with condiments: differential topology, progression, differentiation, and expression☆25Updated last month
- scWGCNA☆55Updated 2 years ago
- Standalone shiny server container for viewing CellChat object☆12Updated 3 years ago
- FastIntegrate integrates thousands of scRNA-seq datasets and outputs batch-corrected values for downstream analysis☆23Updated last month
- ☆29Updated last year
- Network construction Algorithm☆19Updated 2 months ago
- Analysis cell-type-specific functional gene network, with SCINET and HumanNetv3☆39Updated 8 months ago
- Methods for clustering and analyzing high-throughput single cell immune cell repertoires (RepSeq)☆15Updated 2 years ago
- psupertime is pseudotime ordering for single cell RNA-seq data with sequential labels☆38Updated 2 years ago
- Code used to process the data of the HBCA project☆21Updated 9 months ago
- Collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.☆15Updated 2 years ago
- Immune Cell Gene Signatures for Profiling the Microenvironment of Solid Tumours☆26Updated 3 years ago
- R package for SIGMA, a clusterability measure for scRNA-seq data☆12Updated 2 years ago
- ☆18Updated last year
- Information-based dimensionality reduction☆29Updated 3 months ago
- Robust identification of perturbed cell types in single-cell RNA-seq data☆26Updated this week
- ☆45Updated 9 months ago
- Scalable sequence-informed embedding of single-cell ATAC-seq data with CellSpace☆34Updated 9 months ago
- MarcoPolo is a clustering-free approach to the exploration of bimodally expressed genes along with group information in single-cell RNA-s…☆20Updated last week
- ☆20Updated last year
- Matrix factorization model for interpreting single cell gene expression in biologically heterogeneous data☆20Updated 7 months ago
- ☆37Updated 3 years ago
- R package of CSOmap(developing☆14Updated 2 years ago