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  1. Studies of mRNA-Seq Pca
  2. Tutorial: guidelines for the computational analysis of single

  3. Variability in estimated gene expression among commonly used …

  4. PCA for RNASeq samples - Rbind

  5. Robust principal component analysis for accurate …

    Jun 29, 2020 · We report the use of two robust principal component analysis (rPCA) methods, PcaHubert and PcaGrid, to detect outlier samples in multiple simulated and real biological RNA-seq data sets with positive control outlier …

  6. Benchmarking principal component analysis for large …

    Jan 20, 2020 · In this work, we review the existing fast and memory-efficient PCA algorithms and implementations and evaluate their practical application to large-scale scRNA-seq datasets.

  7. A survey of best practices for RNA-seq data analysis

    Sep 29, 2014 · We review all of the major steps in RNA-seq data analysis, including experimental design, quality control, read alignment, quantification of gene and transcript levels, visualization, differential gene expression, …

  8. PCA Visualization - RNA-seq - GitHub Pages

  9. Benchmarking principal component analysis for large-scale single …