A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencing
Fig 5
A,B. Segments with bimodal signal (tumour versus normal) in both scRNA-seq and scATAC-seq of the Basal Cell Carcinoma (BCC) sample SU008 [38, 39]. C. Adjusted Rand Index (ARI) for CONGAS+ inference as a function of different values of the shrinkage coefficient λ. Higher values of λ favour RNA over ATAC, and viceversa. The maximum ARI is achieved for low λ and ATAC. D,E. ATAC and RNA profiles on the segments in panel (C) show that for low λ cells are split into 2 ATAC clusters. In RNA, instead, regardless of λ the cells can be split, as suggested in Fig 1E. F-H. From sample SU006 [38, 39], instead, we obtain a good clustering both in RNA and ATAC data.