spatialGE
Gene Expression Analyzer
A software package for analyzing and visualizing spatial gene expression data from single-cell RNA sequencing assays.
Methods for visualization and analysis of spatially-resolved gene expression
13 stars
1 watching
6 forks
Language: R
last commit: 12 months ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| | Tools and methods to analyze gene expression data in relation to spatial coordinates | 151 |
| | A toolset for analyzing single-cell gene expression data from RNA sequencing experiments. | 24 |
| | An R package providing tools for analyzing single-cell RNA-seq data and identifying gene expression patterns. | 4 |
| | A Python package that performs sparse linear model fitting on gene expression data and SNV matrices. | 33 |
| | A software framework for learning spatial embeddings from high-dimensional transcriptomics data using an adaptive graph attention auto-encoder | 41 |
| | This package provides functions to fit and apply Generalized Dissimilarity Modeling to analyze spatial patterns of biodiversity. | 35 |
| | A software package for performing gene set enrichment analysis in various types of biological data. | 580 |
| | A Python toolkit for analyzing large-scale single-cell gene expression data | 1,954 |
| | A tool for analyzing Single-cell RNA-Seq data to identify patterns and clusters in gene expression. | 27 |
| | A Python package for aligning single-cell transcriptomic data with spatial gene expression data. | 261 |
| | Identifies genes with spatial expression trends in single-cell gene-expression data | 50 |
| | A software package that analyzes single-cell RNA-seq data to identify differential gene expression with capture efficiency adjustments | 14 |
| | A computational framework that integrates single-cell chromatin accessibility and gene expression data to infer transcriptional regulators of target genes. | 39 |
| | Software package for cell type identification and differential expression in spatial transcriptomics | 322 |
| | An R-based application for exploring and visualizing gene expression data | 17 |