This repository contains R code, with which you can create 3D UMAP and tSNE plots of Seurat analyzed scRNAseq data
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Updated
Feb 23, 2023 - R
This repository contains R code, with which you can create 3D UMAP and tSNE plots of Seurat analyzed scRNAseq data
Differential expression and allelic analysis, nonparametric statistics
Explore and share your scRNAseq clustering results
R package - Analysis of Single Cell Expression, Normalisation and Differential expression (ascend)
R package developed for single-cell RNA-seq analysis. It was designed using the Seurat framework, and offers existing and novel single-cell analytic work flows.
Cell type pipes for R
Robust single cell clustering and comparison of population compositions across tissues and experimental models via similarity analysis.
This repository stores the scigenex R library.
Plot_ly-based plotting functions for use with Seurat objects
Hello there! Some code on how to merge >2 Seurat objects and maintain object identity :)
R Package for Single Cell RNAseq Synthetic Data Simulation
Visualize clonal expansion via circle-packing. 'APackOfTheClones' extends 'scRepertoire' to produce a publication-ready visualization of clonal expansion at a single cell resolution, by representing expanded clones as differently sized circles.
scRNA cluster via Seurat package
Discovers nested gene co-expressing modules
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