ascend
Cell analysis software
Tools and methods for analyzing single-cell RNA sequencing data, including expression normalization and differential gene expression analysis.
R package - Analysis of Single Cell Expression, Normalisation and Differential expression (ascend)
22 stars
6 watching
7 forks
Language: R
last commit: about 6 years ago
Linked from 1 awesome list
rrpackagesscrna-seq-analysisscrnaseqsinglecell
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | A web-based Shiny application for analyzing single-cell RNA sequencing data | 23 |
| | Provides statistical methods for analyzing single-cell RNA-seq data, focusing on error modeling and differential expression analysis. | 173 |
| | Provides tools and methods for analyzing single-cell RNA sequencing data using statistical models | 228 |
| | A software framework for analyzing single-cell RNA sequencing data | 18 |
| | A package for processing and visualizing single-cell RNA-seq data in R, providing an efficient and customizable framework for analyzing complex biological datasets. | 60 |
| | An open-source R package providing tools and methods for analyzing single cell RNA-seq data | 217 |
| | An educational resource offering interactive R, Python, and Seurat labs for analyzing single-cell RNA sequencing data. | 199 |
| | An integrated Bayesian hierarchical model to analyze single-cell sequencing data | 84 |
| | An R-based web application for guided single-cell RNA-seq data analysis and clustering | 33 |
| | An educational resource teaching computational analysis of single-cell RNA-seq data using R and Bioconductor tools | 125 |
| | Analyzes single-cell RNA-seq data to detect allele-specific copy number variations and infer lineage relationships in cancer cells | 171 |
| | An open-source teaching package for the computational analysis of single-cell RNA-seq data using R. | 673 |
| | A tool for designing and analyzing pooled single cell RNA-seq perturbation experiments to understand biological dynamics | 87 |
| | Analyzing single-cell RNA-seq data using R and Bioconductor tools | 76 |
| | A workflow generator for single-cell RNA-seq data analysis | 100 |