Uniform Manifold Approximation and Projection
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Updated
Apr 30, 2024 - Python
Uniform Manifold Approximation and Projection
AI Observability & Evaluation
Manage map and features with Leaflet and expose them for backend storage through an API.
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An R package implementing the UMAP dimensionality reduction method.
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JavaScript implementation of UMAP
Tera Online 32-bit and 64-bit client package(*.gpk, *.gmp, *.upk, *.umap, *.u) editor/viewer
This repository contains R code, with which you can create 3D UMAP and tSNE plots of Seurat analyzed scRNAseq data
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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)).
Uniform Manifold Approximation and Projection (UMAP) implementation in Julia
Uniform Manifold Approximation and Projection - R package
Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).
Seurat meets tidyverse. The best of both worlds.
Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
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