A mathematical model as a tool to identify microRNAs with highest impact on transcriptome changes

BMC Genomics

Table 3 Highest ranking miRNAs (Me45 cells)

Rank	miRNA	Correlation coefficient ρ	Parameter ∆k_i.
1	hsa-miR-762	0.4067	− 0.00192
2	hsa-miR-638	0.3885	− 0.01268
3	hsa-miR-4281	0.3777	−0.00403
4	hsa-miR-3648	0.3763	−0.01113
5	hsa-miR-1247-5p	0.3718	−0.0154
6	hsa-miR-1207-5p	0.3709	−0.00183
7	hsa-miR-1469	0.3671	−0.02113
8	hsa-miR-663a	0.3656	0.00038
9	hsa-miR-1914-3p	0.3647	−0.00879
10	hsa-miR-2861	0.3612	−0.00248
11	hsa-miR-1915-3p	0.3386	−0.00143
12	hsa-miR-122-5p	0.3373	−0.0073
13	hsa-miR-1268a	0.3372	0.00116
14	hsa-miR-744-5p	0.3356	0.01103
15	hsa-miR-362-3p	0.3334	−0.01466
16	hsa-miR-3656	0.3276	0.00076
17	hsa-miR-3141	0.3123	−0.00158
18	hsa-miR-548f	0.3101	0.01264
19	hsa-miR-663b	0.3050	−0.00226
20	hsa-miR-874	0.3038	−0.00104
21	hsa-miR-1226-5p	0.3001	−0.01623
22	hsa-miR-3196	0.2900	−0.00271
23	hsa-miR-1470	0.2899	−0.00797
24	hsa-miR-1181	0.2893	−0.00358
25	hsa-miR-548a-5p	0.2769	0.0026
26	hsa-miR-320a	0.2761	0.00804
27	hsa-miR-4270	0.2716	−0.00057
28	hsa-miR-23a-5p	0.2715	−0.01881
29	hsa-miR-340-5p	0.2713	0.00919
30	hsa-miR-296-3p	0.2684	−0.02642

ISSN: 1471-2164