bioc2020trajectories
Trajectory analysis
Analyzing and comparing single-cell RNA-seq data across multiple conditions to infer cell trajectories and detect differential expression.
Trajectory inference and differential expression over multiple conditions in scRNA-seq
25 stars
2 watching
6 forks
Language: R
last commit: almost 4 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| Analyzing single-cell RNA-seq data using R and Bioconductor tools | 76 |
| Analyzes multi-sample scRNA-seq data to identify differential states between cell subpopulations and experimental conditions. | 171 |
| Tools and methods for analyzing single-cell RNA sequencing data, including expression normalization and differential gene expression analysis. | 22 |
| Analyzes single-cell multi-omics data from various modalities like RNA-seq and ATAC-seq | 16 |
| An integrated Bayesian hierarchical model to analyze single-cell sequencing data | 84 |
| Analyzes single-cell RNA-seq data to detect allele-specific copy number variations and infer lineage relationships in cancer cells | 171 |
| Probabilistic analysis tools for single-cell omics data | 1,270 |
| A toolkit for analyzing single-cell RNA sequencing data using computational methods and algorithms | 2 |
| An R-based web application for guided single-cell RNA-seq data analysis and clustering | 33 |
| Provides statistical methods for analyzing single-cell RNA-seq data, focusing on error modeling and differential expression analysis. | 173 |
| Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes | 219 |
| A workflow generator for single-cell RNA-seq data analysis | 100 |
| An educational resource teaching computational analysis of single-cell RNA-seq data using R and Bioconductor tools | 125 |
| An educational resource offering interactive R, Python, and Seurat labs for analyzing single-cell RNA sequencing data. | 199 |
| Analyzes single cell RNA sequence data with quantitative phenotypes | 13 |