Mcadet: A feature selection method for fine-resolution single-cell RNA-seq data based on multiple correspondence analysis and community detection
Fig 2
Jaccard Similarity index for comparing feature selection performance on PBMC (A and B) and simulated datasets (C and D). The Jaccard similarity index measures the accuracy of selecting true (or semi-true) HVGs by different FS methods. Each dot in the graph represents a dataset, and the dashed horizontal line represents the baseline mean for all methods. 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.