ID
a_t1a_t2b_t1b_t2
CACCCGTAGAACCGACCTTGCG_mmu-miR-99b-5p15781941234810941
CACCCGTAGAACCGACCTTGC_mmu-miR-99b-5p4424265643839
CACCCGTAGAACCGACCTTG_mmu-miR-99b-5p544366253
CCGTAGAACCGACCTTGCG_mmu-miR-99b-5p263333157
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
after updating R and edgeR I lost the annotations in the final
Diff.Expressed matrix (toptags) when running the edgeR pipeline. How do I
get the row.names from the data matrix into the topTag-matrix?
data - read.table(KO_and_WT_Summary_miRNA_Expression.csv, row.names=1,
sep=, header=T)
keep -
I have two files containing words. I want to print the are in file 1 but
NOT in file 2.
How do I go about?
file 1:
ABL1
1 ALKBH1
2 ALKBH2
3 ALKBH3
4ANKRD17
5 APEX1
6 APEX2
7 APTX
8 ASF1A
9 ASTE1
10 ATM
11 ATR
12 ATRIP
13 ATRX
14
I want to plot two scdf-plots in the same graph.
I have two input tables with one column each:
Targets - read.table(/media/, sep=, header=T)
NonTargets - read.table(/media/..., sep=, header=T)
head(Targets)
V1
1 3.160514
2 6.701948
3 4.093844
4 1.992014
5 1.604751
6 2.076802
Hi all,
I want to plot a facet plot with column names as x and column values as y.
One plot for each row. here is part of my dataset:
Gene T0h T0.25h T0.5h T1h T2h T3h T6h T12h T24h T48h NM_001001130 68 95
56 43 66 62 68 90 63 89 NM_001001144 0 1 4 0 1 1 1 4 1 2 NM_001001152 79
129 52 50
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