Selected article for: "GEO database and RNA sequencing"
Author: Weicheng Liang; Zhijie Feng; Shitao Rao; Cuicui Xiao; Zexiao Lin; Qi Zhang; Wei Qi
Title: Diarrhea may be underestimated: a missing link in 2019 novel coronavirus
  • Document date: 2020_2_11
    • ID: bnv38la3_13
    Snippet: The public single-cell RNA-seq sequencing data (GSE92332) was downloaded from the GEO database. The 10X matrix file of GSE92332_atlas_UMIcounts.txt was used for subsequent analysis based on R package Seurat (Version 3.1.2). In order to filter out low-quality cells and low-quality genes, strict parameters, "min.featrue=1000" and "min.cell=20", were used in the function CreateSeuratObject. The data was subsequently log-normalized by the function No.....
    Document: The public single-cell RNA-seq sequencing data (GSE92332) was downloaded from the GEO database. The 10X matrix file of GSE92332_atlas_UMIcounts.txt was used for subsequent analysis based on R package Seurat (Version 3.1.2). In order to filter out low-quality cells and low-quality genes, strict parameters, "min.featrue=1000" and "min.cell=20", were used in the function CreateSeuratObject. The data was subsequently log-normalized by the function NormalizeData with the default parameters. The genes with highly variable expression were identified by the function FindVariableGenes. After

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