Hi,

I have two data frames with time serie datamatrix. I want to pick a row X
from the first matrix and see if it correlates with row Y in the second
matrix. These are gene expression values and I probaly need to do some
scaling first, but I wonder if you have any suggestions on how to do the
correlation. A graph for each correlation would also be nice.

> head(dataH)
             T0h T0.25h T0.5h T1h T2h T3h T6h T12h T24h T48h C0h C0.25h
C0.5h C1h C2h C3h C6h
NM_001001130  68     95    56  43  66  62  68   90   63   89  65     85
58  49  81  49  76
NM_001001144   0      1     4   0   1   1   1    4    1    2   1      3
1   0   6   3   0
NM_001001152  79    129    52  50  24  45 130  154  112  147  56     85
67  33  52  31  93
NM_001001160   1      1     2   0   0   1   0    0    0    1   0      1
2   4   2   1   0
NM_001001176   0      0     0   0   0   0   0    0    0    0   0      0
0   0   0   0   0
NM_001001177   1      3     2   3   0   1   1    0    2    0   1      6
4   1   3   0   0
             C12h C24h C48h
NM_001001130   73   48   77
NM_001001144    1    2    1
NM_001001152   77   65  109
NM_001001160    2    1    0
NM_001001176    0    0    0
NM_001001177    3    0    2
> head(dataM)
                  T0h T0.25h T0.5h   T1h   T2h   T3h   T6h  T12h  T24h
T48h   C0h C0.25h
mmu-let-7a-1-3p   450    329   395   300   469   320   245   281   300
376   166    242
mmu-let-7a-2-3p     0      0     0     0     0     0     0     0     0
0     0      0
mmu-let-7a-5p   93070  62871 65013 69714 73983 60836 49885 63788 62161
65595 48525  32111
mmu-let-7b-3p      54     14    35    15    47     7     9    13    26
50    17     15
mmu-let-7b-5p      19     16    18    25    18    16    19    16    18
42    14      8
mmu-let-7c-1-3p     0      0     0     0     0     0     0     0     0
0     0      0
                C0.5h   C1h   C2h   C3h   C6h  C12h  C24h  C48h
mmu-let-7a-1-3p   211   141   127    98   113   170   187   249
mmu-let-7a-2-3p     0     0     0     0     0     0     0     0
mmu-let-7a-5p   30148 17108 22988 27513 37940 57235 40395 38018
mmu-let-7b-3p      15     3     7     9    12    23    20    14
mmu-let-7b-5p       8     2    12    10     7    15     6     6
mmu-let-7c-1-3p     0     0     0     0     0     0     0     0

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