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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
  • Seurat package - RDocumentation
    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
  • Georges Seurat | Biography, Art, Paintings, A Sunday on La Grande Jatte . . .
    Georges Seurat (born December 2, 1859, Paris, France—died March 29, 1891, Paris) was a painter and founder of the 19th-century French school of Neo-Impressionism whose technique for portraying the play of light using tiny brushstrokes of contrasting colors became known as Pointillism
  • Introduction to scRNA-Seq with R (Seurat) - Cancer
    Seurat is an R package designed for QC, analysis, and exploration of single-cell RNA-seq data
  • 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
  • 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
  • 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
  • Seurat: Tools for Single Cell Genomics version 5. 3. 0 from CRAN
    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





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