Table 1 The deconvolution performance of DC3 with different input combinations
From: DC3 is a method for deconvolution and coupled clustering from bulk and single-cell genomics data
Input combinations | HiChIP | RNA-seq | ATAC-seq | Mean | |||
|---|---|---|---|---|---|---|---|
K562 | GM12878 | K562 | GM12878 | K562 | GM12878 | ||
scRNA-seq, scATAC-seq and scHi-C | 0.92 ± 0.01 | 0.95 ± 0.01 | 0.98 ± 0.00 | 0.99 ± 0.00 | 0.98 ± 0.01 | 0.99 ± 0.01 | 0.97 |
scRNA-seq, scATAC-seq and bulk Hi-C | 0.86 ± 0.00 | 0.95 ± 0.00 | 0.98 ± 0.00 | 0.99 ± 0.00 | 0.98 ± 0.01 | 0.99 ± 0.01 | 0.95 |
scRNA-seq, bulk ATAC-seq, bulk Hi-C | 0.78 ± 0.09 | 0.85 ± 0.08 | 0.95 ± 0.04 | 0.94 ± 0.02 | 0.85 ± 0.02 | 0.85 ± 0.02 | 0.87 |
Bulk RNA-seq, scATAC-seq, bulk Hi-C | 0.71 ± 0.09 | 0.83 ± 0.08 | 0.85 ± 0.02 | 0.88 ± 0.03 | 0.88 ± 0.01 | 0.89 ± 0.01 | 0.84 |
Random deconvolution | 0.61 ± 0.12 | 0.76 ± 0.10 | 0.76 ± 0.11 | 0.74 ± 0.08 | 0.62 ± 0.12 | 0.71 ± 0.08 | 0.70 |
