scSVA
Single-cell data viewer
Software package for interactive analysis and visualization of large single-cell omics datasets
Single-cell Scalable Visualization and Analytics
25 stars
8 watching
8 forks
Language: R
last commit: almost 6 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
scverse/scvi-tools | Probabilistic analysis tools for single-cell omics data | 1,270 |
xmc811/scillus | 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 |
ucarlab/iasva | Analyzes correlated hidden factors from single-cell transcriptomes to identify biological variation | 8 |
antoniodefalco/scevan | Automated tool for classifying cells in scRNA data and inferring copy number profiles of malignant cells. | 94 |
sccaf/sccaf | Automated method for identifying putative cell types from single-cell RNA-seq data using clustering and machine learning | 94 |
romanhaa/cerebro | A tool for interactive visualization of single cell transcriptomics data | 95 |
kharchenkolab/numbat | Analyzes single-cell RNA-seq data to detect allele-specific copy number variations and infer lineage relationships in cancer cells | 171 |
zjufanlab/sccatch | Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes | 219 |
kstreet13/bioc2020trajectories | Analyzing and comparing single-cell RNA-seq data across multiple conditions to infer cell trajectories and detect differential expression. | 25 |
nasqar/seuratv3wizard | An R-based web application for guided single-cell RNA-seq data analysis and clustering | 33 |
hms-dbmi/scde | Provides statistical methods for analyzing single-cell RNA-seq data, focusing on error modeling and differential expression analysis. | 173 |
nbisweden/excelerate-scrnaseq | An open-source R package providing tools and methods for analyzing single cell RNA-seq data | 217 |
eskelandlab/shinyarchruio | An R-based web application for visualizing massive single-cell chromatin accessibility data using ArchR | 18 |
yoseflab/scone | Tools for quality control and normalization of single-cell RNA-seq data | 53 |
asmagen/robustsinglecell | 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. | 13 |