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Tools for Single Cell Genomics • Seurat - Satija Lab Seurat is an R package designed for QC, analysis, and exploration of single-cell RNA-seq data Seurat aims to enable users to identify and interpret sources of heterogeneity from single-cell transcriptomic measurements, and to integrate diverse types of single-cell data
Georges Seurat - Wikipedia Georges Pierre Seurat (UK: ˈsɜːrɑː, - ə SUR-ah, -ə, US: sʊˈrɑː suu-RAH; [1][2][3][4][5] French: [ʒɔʁʒ pjɛʁ sœʁa]; [6] 2 December 1859 – 29 March 1891) was a French post-Impressionist artist He devised the painting techniques known as chromoluminarism and pointillism and used conté crayon for drawings on paper with a rough surface
Seurat: Tools for Single Cell Genomics — Seurat-package A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data
Getting Started with Seurat v4 - Satija Lab A basic overview of Seurat that includes an introduction to common analytical workflows An introduction to working with multi-modal datasets in Seurat Learn to explore spatially-resolved transcriptomic data with examples from 10x Visium and Slide-seq v2
Package Seurat reference manual 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data
Georges Seurat - The Art Institute of Chicago Inspired by recently published research in optical and color theory, Georges Seurat distinguished his art from what the Impressionists considered a more intuitive painting approach by developing his own “scientific” style called Pointillism
Home · satijalab seurat Wiki - GitHub Seurat is a toolkit for quality control, analysis, and exploration of single cell RNA sequencing data This guide is to help developers understand how the Seurat object is structured, how to interact with the object and access data from it, and how to develop new methods for Seurat objects
CRAN: Package Seurat A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data