immunogenomics / cnaLinks
Covarying neighborhood analysis (CNA) is a method for finding structure in- and conducting association analysis with multi-sample single-cell datasets.
☆56Updated 8 months ago
Alternatives and similar repositories for cna
Users that are interested in cna are comparing it to the libraries listed below
Sorting:
- Gene regulatory network containing signed transcription factor-target gene interactions☆98Updated 8 months ago
- A repository for benchmarking spatial deconvolution and mapping tools☆36Updated 8 months ago
- ☆48Updated 2 months ago
- Finding surprising needles (=genes) in haystacks (=single cell transcriptome data).☆86Updated 2 months ago
- SIB/Scilifelab autumn school in single cell omics 2019.☆22Updated 6 years ago
- Multi-resolution Variational Inference☆22Updated 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
- Quasilinear data representations for single-cell omics data analysis☆43Updated 2 years ago
- Single-Cell Analysis of Inter-Individual Variability by Interpretable Tensor Decomposition☆63Updated last year
- Trajectory inference across multiple conditions with condiments: differential topology, progression, differentiation, and expression☆29Updated last year
- ☆41Updated 4 years ago
- BITFAM is a Bayesian approach and platform to infer transcription factor activities within individual cells using single cell RNA-sequenc…☆31Updated 8 months ago
- A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA seq…☆66Updated 5 months ago
- Coarse-graining of large single-cell RNA-seq data into metacells☆92Updated last month
- Capybara: A computational tool to measure cell identity and fate transitions☆60Updated 3 years ago
- CellANOVA: Cell State Space Analysis of Variance for signal recovery in single cell batch integration☆54Updated last year
- Scalable sequence-informed embedding of single-cell ATAC-seq data with CellSpace☆41Updated last year
- All code associated with manuscript detailing scATAC and scRNA-seq following stimulus of PBMCs☆41Updated 2 years ago
- RNA-velocity informed embeddings for visualizing cellular trajectories☆44Updated 3 years ago
- Information-based dimensionality reduction☆29Updated last year
- Inference of RNA velocity modules for prediction of cell fates and integration with spatial and regulatory models.☆85Updated 10 months ago
- ☆36Updated 3 months ago
- R package for specialised analysis of single cell data☆40Updated 3 years ago
- User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins☆69Updated 3 months ago
- A R package for integrated scRNA-seq data analysis using the RPCI algorithm☆44Updated last year
- VoxHunt: Resolving human brain organoid heterogeneity through single-cell genomic comparison to spatial brain maps☆47Updated last year
- R package for decontaminating the spot swapping effect and recovering true expression in spatial transcriptomics data☆35Updated 3 weeks ago
- Filtering of Poison noise on a single-cell RNA-seq UMI count matrix☆79Updated 2 months ago
- psupertime is pseudotime ordering for single cell RNA-seq data with sequential labels☆46Updated 3 years ago
- Code used to analyze single cell RNA and ATAC sequencing in developing human brain☆35Updated 4 years ago