Fig. 1
From: A benchmark for RNA-seq deconvolution analysis under dynamic testing environments
Overview of three in silico testing frameworks. a Three benchmarking frameworks were constructed to investigate the impact of seven factors that affect deconvolution analysis: noise level, noise structure, other noise sources, quantification unit, unknown content, component number, and weight matrix. b Eleven deconvolution methods are tested and have been categorized based on the required reference input: marker-based, reference-based, and reference-free. c Performance of the methods is assessed through Pearson’s correlation coefficient (R) and mean absolute deviance (mAD). Evaluation results are illustrated by heatmaps and scatter plots. When unknown content is involved, we derive evaluation metrics in both relative and absolute measurement scales