An R package implementing the UMAP dimensionality reduction method.

Seurat meets tidyverse. The best of both worlds.

Uniform Manifold Approximation and Projection - R package

Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptomics (ST)).

This repository contains R code, with which you can create 3D UMAP and tSNE plots of Seurat analyzed scRNAseq data

⛔ ARCHIVED ⛔ Wraps UMAP Algorithm for Dimension Reduction

R package for dimensionality reduction of small datasets

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)

BEER: Batch EffEct Remover for single-cell data

An R library for conducting analyses on COMPASS data.

Display gene expression along a given reduced dimension on a heatmap

Plot_ly-based plotting functions for use with Seurat objects

umart generates umap art

A project experimenting with implementing clustering algorithms in R

interactmapper is an interactive dimension reduction data visualization tool that facilitates the interpretation of relationships in big datasets

UMAP dimensionality reduction and DBSCAN clustering R helper package

UMAP testing

Workflows for sc/snRNAseq from count data.