README.md

In ttdtrang/cdev-paper: cdev: a ground-truth based measure to evaluate RNA-seq normalization methods

cdev: A ground-truth based measure to evaluate RNA-seq normalization performance

R codes accompanying paper cdev: A ground-truth based measure to evaluate RNA-seq normalization performance

R notebooks:

• examine-real-datasets.Rmd: To examine the behavior of spike-ins in various RNA-seq data sets, and collect usable data sets into a single file
• cdev-upstream-downstream.Rmd: cdev in relation to upstream processing quality and downstream performance, i.e. DE analysis
• cdev-real-data.Rmd: behavior of cdev in real data sets
• cdev-application.Rmd: application of cdev to compare common normalization methods on simulation and real data

R scripts: cdev-ground_vs_ground.R cdev-random_vs_ground.R cdev-random_vs_random.R norm_methods-real_data.R norm_methods-simulation.R

ttdtrang/cdev-paper documentation built on Dec. 23, 2021, 1:01 p.m.