SPOTlight
by MarcElosua
Spatial Transcriptomics Capture Location Deconvolution
AI summary
Cell mixture deconvolution software
Software tool for deconvoluting mixtures of cells from single-cell transcriptomes using non-negative matrix factorization
- stars
- 169
- forks
- 25
- watching
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Cell classifier
Automated tool for classifying cells in scRNA data and inferring copy number profiles of malignant cells.
Cell classifier
A software tool for analyzing spatial transcriptomics data by separating cell types from location information
Cell grouping tool
An R package that facilitates analysis of single-cell RNA-seq data by identifying homogeneous groups of cells.
Cell analysis software
Analyzing single-cell RNA-seq data using R and Bioconductor tools
Transcriptomics analysis tool
Software package for cell type identification and differential expression in spatial transcriptomics
Cell analysis tool
Analyzes single-cell RNA-seq data to detect allele-specific copy number variations and infer lineage relationships in cancer cells
Variation detector
An interactive R application to detect and annotate hidden sources of variation in single cell RNA-seq data
Cell clustering tool
An R-based software package for analyzing scRNA-seq data to identify robust cell subpopulations and compare population compositions across different tissues and experimental models.
Cell type annotation tool
A tool for accurately annotating cell types in single-cell RNA sequencing data using deep learning
Deconvolution tutorial
A tutorial on using NMFreg to deconvolve composite measurements from labeled single-cell RNA-seq data
single-cell data integration tool
An R package for integrating and analyzing multiple single-cell datasets using nonnegative-matrix factorization
Cellular profiler
A Julia toolkit for analyzing high-dimensional cellular profiles
Spatial reconstructor
Software tool to predict spatial locations of single cells in tissue using single-cell RNA sequencing data
Factor analyzer
Analyzes correlated hidden factors from single-cell transcriptomes to identify biological variation
Single-cell data processor
Tools for analyzing aligned single-cell data from sequencing experiments
