Detection of high variability in gene expression from single-cell RNA-seq profiling
作者: Hung-I Harry ChenYufang JinYufei HuangYidong Chen
作者单位: 1The University of Texas Health Science Center at San Antonio
2The University of Texas at San Antonio
刊名: BMC Genomics, 2016, Vol.17 (7)
来源数据库: Springer Nature Journal
DOI: 10.1186/s12864-016-2897-6
关键词: Single-cellSingle-cell RNA-SeqCell heterogeneityNegative binomial distributionGene expression variation modelVariably expressed genes
原始语种摘要: Abstract(#br) Background(#br)The advancement of the next-generation sequencing technology enables mapping gene expression at the single-cell level, capable of tracking cell heterogeneity and determination of cell subpopulations using single-cell RNA sequencing (scRNA-seq). Unlike the objectives of conventional RNA-seq where differential expression analysis is the integral component, the most important goal of scRNA-seq is to identify highly variable genes across a population of cells, to account for the discrete nature of single-cell gene expression and uniqueness of sequencing library preparation protocol for single-cell sequencing. However, there is lack of generic expression variation model for different scRNA-seq data sets. Hence, the objective of this study is to develop a gene...
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影响因子:4.397 (2012)

  • expression 表示
  • variability 变异性
  • single 单独的
  • profiling 仿形切削