Differential expression analyses for single-cell RNA-Seq: old questions on new data

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• 作者：Zhun Miao ; Xuegong Zhang
• 关键词：single ; cell ; RNA ; Seq ; differential expression
• 刊名：Quantitative Biology
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：4
• 期：4
• 页码：243-260
• 全文大小：3777KB
• 刊物主题：Bioinformatics; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Mathematical and Computational Biology;
• 出版者：Higher Education Press
• ISSN：2095-4697
• 卷排序：4

文摘

BackgroundSingle-cell RNA sequencing (scRNA-seq) is an emerging technology that enables high resolution detection of heterogeneities between cells. One important application of scRNA-seq data is to detect differential expression (DE) of genes. Currently, some researchers still use DE analysis methods developed for bulk RNA-Seq data on single-cell data, and some new methods for scRNA-seq data have also been developed. Bulk and single-cell RNA-seq data have different characteristics. A systematic evaluation of the two types of methods on scRNA-seq data is needed.