biClustMax.optim: One iteration of biclustering maximization. Takes the current...
In pimentel/sccab: Biclustering by SCCA
Description
Usage
Arguments
Value
Description
One iteration of biclustering maximization. Takes the current values of
d, a, b and if successful returns one iteration
Usage
1
2
biClustMax.optim(xDf, yDf, d.start, a, b, lam, verbose = TRUE,
optim.max = 4, lam.lwr = 3.5, clustOptions = list())
Arguments
xDf
matrix with rows representing genes and columns representing conditions (n x k)
yDf
matrix with rows representing genes and columns representing conditions (n x k)
a
vector of dimension n
b
vector of dimension n
lam
maximum cluster size
d
vector of dimension k
Value
A list containing maximum values of a, b, d
pimentel/sccab documentation built on May 25, 2019, 7:13 a.m.
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Description Usage Arguments Value
Description
One iteration of biclustering maximization. Takes the current values of d, a, b and if successful returns one iteration
Usage
1 2 | biClustMax.optim(xDf, yDf, d.start, a, b, lam, verbose = TRUE,
optim.max = 4, lam.lwr = 3.5, clustOptions = list())
|
Arguments
xDf |
matrix with rows representing genes and columns representing conditions (n x k) |
yDf |
matrix with rows representing genes and columns representing conditions (n x k) |
a |
vector of dimension n |
b |
vector of dimension n |
lam |
maximum cluster size |
d |
vector of dimension k |
Value
A list containing maximum values of a, b, d
R Package Documentation
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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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