VIPER: variability-preserving imputation for accurate gene expression recovery in single-cell RNA sequencing studies

Samankaltaisia teoksia

• bayNorm: Bayesian gene expression recovery, imputation and normalization for single-cell RNA-sequencing data
  Tekijä: Tang, Wenhao, et al.
  Julkaistu: (2020)
• SIMPLEs: a single-cell RNA sequencing imputation strategy preserving gene modules and cell clusters variation
  Tekijä: Hu, Zhirui, et al.
  Julkaistu: (2020)
• DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data
  Tekijä: Arisdakessian, Cédric, et al.
  Julkaistu: (2019)
• SAVER: Gene expression recovery for single-cell RNA sequencing
  Tekijä: Huang, Mo, et al.
  Julkaistu: (2018)
• An accurate and robust imputation method scImpute for single-cell RNA-seq data
  Tekijä: Li, Wei Vivian, et al.
  Julkaistu: (2018)