Single cell Perturbations - Analysis of Differential gene Expression
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Updated
Feb 10, 2025 - Python
Single cell Perturbations - Analysis of Differential gene Expression
Integrated time-series analysis and high-content CRISPR screening delineate the dynamics of macrophage immune regulation
Epigenetic regulators of fibrotic transformation in cardiac fibroblasts
A single-cell RNAseq pipeline for perturb-seq data
A reproducible computational pipeline for processing and analyzing single-cell RNA-seq data with CRISPR perturbations, designed for the Virtual Cell Challenge 2025. Features automated quality control, normalization, class balancing, and batch integration using Snakemake.
Analysis scripts of IGVF ESC engineering project.
Interpretable perturb-seq modeling with a pathway/TF concept bottleneck — predicts effects and identifies stable regulatory drivers that generalize across datasets.
JCAP CRISPR Mixscape Pipeline is a user-friendly R Shiny application for interactive single-cell CRISPR screen analysis. It enables rapid quality control, visualization, and differential expression discovery using Mixscape and Seurat, all in a point-and-click environment. Ideal for researchers working with Perturb-seq data.
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