Mcadet: A feature selection method for fine-resolution single-cell RNA-seq data based on multiple correspondence analysis and community detection
Fig 9
Averaged clustering metrics for comparing feature selection performance on PBMC (A and B) and simulated datasets (C and D).
The p-values, obtained through one-sided pairwise t-tests, indicate the significance of the differences between Mcadet method and each other FS method. Ns: non-significance, NS: p ≥ 0.05,*: 0.01 ≤ p < 0.05, **: 0.001 ≤ p < 0.01, ***: p < 0.001.