xzhoulab / SPARKLinks
Spatially resolved transcriptomic analysis
☆61Updated 2 years ago
Alternatives and similar repositories for SPARK
Users that are interested in SPARK are comparing it to the libraries listed below
Sorting:
- CAST package☆40Updated last year
- Spatial direct messaging detected by bivariate Moran☆30Updated 3 months ago
- TACCO: Transfer of Annotations to Cells and their COmbinations☆61Updated 2 months ago
- Single-Cell Analysis of Inter-Individual Variability by Interpretable Tensor Decomposition☆62Updated last year
- User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins☆67Updated last week
- Spatial Cellular Estimator for Tumors☆58Updated 3 weeks ago
- Code to reproduce the analysis of "Decoding gene regulation in the mouse embryo using single-cell multi-omics""☆40Updated 3 years ago
- PhyloVelo, Phylogeny-based transcriptomic velocity of single cells☆43Updated last month
- characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with nonuniform cellular dens…☆81Updated 3 years ago
- Python implementation of Milo for differential abundance testing on KNN graph☆74Updated 8 months ago
- Integrative and Reference-Informed Spatial Domain Detection for Spatial Transcriptomics☆40Updated 9 months ago
- Niche Interactions and Cellular Heterogeneity in Extracellular Signaling☆57Updated last week
- Python package to find communication-driven intercellular flows from single-cell RNA-sequencing and spatial transcriptomics data.☆78Updated 6 months ago
- Predict RNA velocity through deep learning☆70Updated last year
- ☆59Updated 4 months ago
- Awesome list of tools and methods to perform spatial transcriptomic data analysis.☆46Updated 4 years ago
- Single cell omics biology annotations☆51Updated 6 months ago
- ☆46Updated last year
- Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.☆65Updated 3 months ago
- ☆30Updated 5 months ago
- Inference of RNA velocity modules for prediction of cell fates and integration with spatial and regulatory models.☆80Updated 7 months ago
- inferring regulatory cellular dynamics☆58Updated last month
- ☆50Updated 3 weeks ago
- R implementation of GeneTrajectory☆65Updated last year
- GASTON: deep learning algorithm learns "topography" of a tissue slice from spatial transcriptomics data☆63Updated 4 months ago
- Spatial mapping of cell types by integration of transcriptomics data☆97Updated 3 years ago
- Gene expression deconvolution using dampened weighted least squares☆30Updated 4 years ago
- A python-based package and software to predict metabolite mediated cell-cell communications by single-cell RNA-seq data☆79Updated 3 months ago
- Context specific and dynamic gene regulatory network reconstruction and analysis☆122Updated 3 weeks ago
- ☆31Updated last week