divergence.multivariate.distributions {fCI} | R Documentation |
estimate fCI divergence for given samples of aritrary dimensions
divergence.multivariate.distributions(null.data, diff.data, choice = 2)
null.data |
the empirical null dataset (a dataframe of none-zero ratio values) |
diff.data |
the case-control dataset (a dataframe of none-zero ratio values) |
choice |
choice=1 => cross entropy choice=2 => Helligan distance choice=3 => KL distance |
TBD
divergences |
The estimated divergence given control-control and case- control expression ratios |
TBD
Shaojun Tang
http://software.steenlab.org/fCI/
TBD
null.data=data.frame(matrix(sample(seq(from=0.1,to=10, by=0.01), 100), 100,1)) diff.data=data.frame(matrix(sample(seq(from=0.1,to=10, by=0.01), 100), 100,1)) divergence.multivariate.distributions(null.data, diff.data, choice = 2)