MIMOSCA
Cell analysis software
A tool for designing and analyzing pooled single cell RNA-seq perturbation experiments to understand biological dynamics
A repository for the design and analysis of pooled single cell RNA-seq perturbation experiments.
87 stars
14 watching
25 forks
Language: Jupyter Notebook
last commit: over 5 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| Tools and methods for analyzing single-cell RNA sequencing data, including expression normalization and differential gene expression analysis. | 22 |
| Provides statistical methods for analyzing single-cell RNA-seq data, focusing on error modeling and differential expression analysis. | 173 |
| Analyzes single-cell RNA-seq data to detect allele-specific copy number variations and infer lineage relationships in cancer cells | 171 |
| Analyzing single-cell RNA-seq data using R and Bioconductor tools | 76 |
| An interactive software tool for analyzing single-cell omics data | 32 |
| 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 |
| 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 |
| A web-based Shiny application for analyzing single-cell RNA sequencing data | 23 |
| A Python framework for analyzing and annotating microscopy data | 138 |
| Automated tool for classifying cells in scRNA data and inferring copy number profiles of malignant cells. | 94 |
| Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes | 219 |
| Software tool for analyzing single-cell RNA-seq data from brain tumor samples. | 38 |
| Provides tools and methods for analyzing single-cell RNA sequencing data using statistical models | 228 |
| A Python-based software framework for analyzing mass/flow cytometry data to identify phenotype-associated cell subsets. | 65 |
| An object-oriented Python library for analyzing single-cell RNA-seq data using topological representations | 7 |