willtownes / spatial-factorization-pyLinks
Probabilistic factor models for spatially correlated data. Includes nonnegative and real-valued versions.
☆16Updated 6 months ago
Alternatives and similar repositories for spatial-factorization-py
Users that are interested in spatial-factorization-py are comparing it to the libraries listed below
Sorting:
- Mosaic single cell data integration using non-overlapping features☆37Updated 2 years ago
- ☆28Updated 3 years ago
- Test genes for Spatial Variation☆14Updated 6 months ago
- scVI extension for unspliced RNA☆16Updated last month
- CAST package☆40Updated 8 months ago
- Inferring cell-cell interactions from pseudotime ordering of scRNA-Seq data☆25Updated 2 years ago
- Spatiotemporal single-cell RNA sequencing of developing hearts reveals interplay between cellular differentiation and morphogenesis☆13Updated last year
- Spatial Single Cell transcriptomic library☆17Updated last week
- A Python implementation of the LEMUR algorithm for analyzing multi-condition single-cell RNA-seq data.☆25Updated 5 months ago
- A sandbox for benchmarking detection of out-of-reference cells in single-cell genomics data☆13Updated 8 months ago
- Nonnegative spatial factorization for multivariate count data☆58Updated last year
- Analysis of imbalanced data and its impacts in a scRNA-seq integration setting☆30Updated 3 months ago
- Regulatory networks with Direct Information☆16Updated 5 years ago
- Code, data and analysis for moslin.☆12Updated 8 months ago
- CellRegMap: A statistical framework for mapping context-specific regulatory variants using scRNA-seq☆22Updated 10 months ago
- R package to infer multicellular programs from single-cell data using multi-omics factor analysis (MOFA)☆11Updated last year
- An energy landscape-based approach for measuring developmental states and inferring cellular trajectories from single cell RNA-seq data☆17Updated 4 years ago
- Methods for visualization and analysis of spatially-resolved gene expression☆20Updated 3 weeks ago
- Code used to analyze single cell RNA and ATAC sequencing in developing human brain☆33Updated 3 years ago
- R package for detection of cell-cell interaction using Non-negative Tensor Decomposition☆34Updated last week
- Scripts for data and figure generation in SAVER paper☆17Updated 4 years ago
- Covarying neighborhood analysis (CNA) is a method for finding structure in- and conducting association analysis with multi-sample single-…☆52Updated 3 weeks ago
- Reproducibility code for the manuscript: 'Inferring and perturbing cell fate regulomes in human cerebral organoids☆28Updated last year
- SpatialCorr: Identify gene sets with spatially varying correlation☆17Updated last year
- A novel computational method for inferring cell-type-specific signaling networks using single-cell transcriptomics data for better charac…☆42Updated 9 months ago
- RNA velocity validation☆22Updated 3 years ago
- Quasilinear data representations for single-cell omics data analysis☆42Updated 2 years ago
- ☆22Updated 2 years ago
- Parse ArchR arrow files to anndata h5ad☆12Updated last year
- Spatially-resolved Transcriptomics via Epitope Anchoring☆19Updated last year