MItimeIcE2: MItimeIcE2
In TDARACNE: Network reverse engineering from time course data.
Description
Compute the d-delayed Mutual information all over the whole set of genes
Usage
1
MItimeIcE2(z, N, delta, norm, threshold, ksd, IcE)
Arguments
z
z is the data matrix
N
N is respectively the number of bins in percentile normalization or in rank normalization
delta
delta is the maximum time delay allowed to infer connections
norm
if you want column percentile normalization put norm == 1;
if you want Rank normalization put norm == 2;
threshold
the Influence threshold.
if you have a threshold and a SD put them here in this format: c(thresh,SD)
if you don't have threshold put 0 in thresh;
ksd
ksd is the standard deviation multiplier;
IcE
the IcE value
TDARACNE documentation built on Nov. 8, 2020, 5:48 p.m.
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Description
Compute the d-delayed Mutual information all over the whole set of genes
Usage
1 | MItimeIcE2(z, N, delta, norm, threshold, ksd, IcE)
|
Arguments
z |
z is the data matrix |
N |
N is respectively the number of bins in percentile normalization or in rank normalization |
delta |
delta is the maximum time delay allowed to infer connections |
norm |
if you want column percentile normalization put norm == 1; if you want Rank normalization put norm == 2; |
threshold |
the Influence threshold. if you have a threshold and a SD put them here in this format: c(thresh,SD) if you don't have threshold put 0 in thresh; |
ksd |
ksd is the standard deviation multiplier; |
IcE |
the IcE value |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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