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CMF-Impute: an accurate imputation tool for single-cell RNA-seq data

机译:CMF-Invute:用于单单元RNA-SEQ数据的准确估算工具

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摘要

Motivation: Single-cell RNA-sequencing (scRNA-seq) technology provides a powerful tool for investigating cell heterogeneity and cell subpopulations by allowing the quantification of gene expression at single-cell level. However, scRNA-seq data analysis remains challenging because of various technical noises such as dropout events (i.e. excessive zero counts in the expression matrix).
机译:动机:单细胞RNA测序(SCRNA-SEQ)技术通过允许在单细胞水平下定量基因表达来调查细胞异质性和细胞群的强大工具。 然而,由于诸如辍学事件(即表达矩阵中的过度计数),ScrNA-SEQ数据分析仍然具有挑战性。

著录项

  • 来源
    《Bioinformatics》 |2020年第10期|共9页
  • 作者单位

    Hunan Univ Coll Comp Sci &

    Elect Engn Changsha 410082 Hunan Peoples R China;

    Hunan Univ Coll Comp Sci &

    Elect Engn Changsha 410082 Hunan Peoples R China;

    Hainan Normal Univ Sch Math &

    Stat Haikou 570100 Hainan Peoples R China;

    Hainan Normal Univ Sch Math &

    Stat Haikou 570100 Hainan Peoples R China;

    Hainan Normal Univ Sch Math &

    Stat Haikou 570100 Hainan Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物工程学(生物技术);
  • 关键词

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