10.6084/m9.figshare.6168440.v1
Mariana Buongermino Pereira
Mariana Buongermino
Pereira
Mikael Wallroth
Mikael
Wallroth
Viktor Jonsson
Viktor
Jonsson
Erik Kristiansson
Erik
Kristiansson
Additional file 1 of Comparison of normalization methods for the analysis of metagenomic gene abundance data
Springer Nature
2018
Shotgun metagenomics
Gene abundances
Normalization
High-dimensional data
Systematic variability
False discovery rate
2018-04-20 05:00:00
Journal contribution
https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_Comparison_of_normalization_methods_for_the_analysis_of_metagenomic_gene_abundance_data/6168440
Figure S1. Histograms of Spearman correlations between normalization factors and raw counts of non-differentially abundant genes (non-DAGs). Spearman correlations were compute per gene in the Human gut I, for group size 10+10, with 10% of effects divided equally between the two group, and fold-change 3. Affected genes were randomly selected in 100 iterations. The following methods are included in the figure trimmed mean of M-values (TMM), relative log expression (RLE), cumulative sum scaling (CSS), reversed cumulative sum scaling (RCSS), upper quartile (UQ), median (Med) and total count (TC). (PDF 76 kb)