Fig. 1
From: A novel approach toward optimal workflow selection for DNA methylation biomarker discovery
An overview of our benchmarking study. Publicly available methylation data on monocytes were obtained and put through quality control steps. The same data was used as input to a tissue-aware simulator (TASA). In total, 12 datasets were generated with different size and variations. Following normalization and batch effect correction, 48 different scenarios were input into DMP/DMR discovery tools. The best workflow was then presented for each of the 12 simulated datasets