Table 1.
List | n Blocks | Blocks§(kb) | DNA content (Mb) | n LncRNAs | n CircRNAs | n MiRNAs | n SEs |
---|---|---|---|---|---|---|---|
MS set | 73 | 52.2 | 3.8 | 30 | 482 | 7 | 23 |
SD | – | 54.8 | – | – | – | – | – |
Random sets (I)∗ | 73.8 | 40.6 | 2.9 | 22.6 | 193.8 | 2.1 | 2.4 |
SD | 4.0 | 5.7 | 0.4 | 5.6 | 65.0 | 2.1 | 1.8 |
%∗∗ | – | – | – | 11.0 | 0 | 3.6 | 0 |
p-value | – | – | – | 0.11 | 9.9∗10-4 | 0.36 | 9.9∗10-4 |
Random sets (II)∗ | 96.0 | 40.2 | 3.8 | 29.3 | 249.3 | 2.7 | 3.1 |
SD | 4.6 | 4.8 | 0.5 | 6.3 | 76.4 | 2.5 | 2.0 |
%∗∗ | – | – | 46.4 | 0.6 | 6.3 | 0 | |
p-value | – | – | – | 0.46 | 0.006 | 0.06 | 9.9∗10-4 |
§Average length of the LD blocks. ∗For the random sets analysis, the average values calculated on 1,000 iterations are indicated. ∗∗% of times in which the same or a larger number of lncRNAs, circRNAs, miRNAs, or SEs was obtained in the 1,000 iterations as compared to the MS dataset. p-Values were calculated as described (Davison and Hinkley, 1997); in detail: p-value = [1+sum(s > = s0)]/(N + 1), where s is the observed value in the random set, s0 is the value of the observed MS-specific result, and N is the number of bootstraps. n, number; SD, standard deviation.