DTWscore: differential expression and cell clustering analysis for time-series single-cell RNA-seq data
作者: Zhuo WangShuilin JinGuiyou LiuXiurui ZhangNan WangDeliang WuYang HuChiping ZhangQinghua JiangLi XuYadong Wang
作者单位: 1Harbin Institute of Technology, Harbin
2Harbin Engineering University, Harbin
刊名: BMC Bioinformatics, 2017, Vol.18 (1)
来源数据库: Springer Journal
DOI: 10.1186/s12859-017-1647-3
关键词: Single-cell RNA-seqTime-series dataDynamic time warping
英文摘要: The development of single-cell RNA sequencing has enabled profound discoveries in biology, ranging from the dissection of the composition of complex tissues to the identification of novel cell types and dynamics in some specialized cellular environments. However, the large-scale generation of single-cell RNA-seq (scRNA-seq) data collected at multiple time points remains a challenge to effective measurement gene expression patterns in transcriptome analysis.
原始语种摘要: The development of single-cell RNA sequencing has enabled profound discoveries in biology, ranging from the dissection of the composition of complex tissues to the identification of novel cell types and dynamics in some specialized cellular environments. However, the large-scale generation of single-cell RNA-seq (scRNA-seq) data collected at multiple time points remains a challenge to effective measurement gene expression patterns in transcriptome analysis.
全文获取路径: Springer  (合作)
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来源刊物:
影响因子:3.024 (2012)

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关键词翻译
关键词翻译
  • RNA ROYAL NEPAL AIRLINES CORP.
  • expression 表示
  • differential 差动的
  • single 单独的
  • analysis 分析
  • sequencing 排序
  • clustering 聚类
  • warping 翘曲
  • novel 长篇小说
  • specialized 专门