count.states: count states
In anthony-aylward/asepirinen: Assessing allele-specific expression across multiple tissues from RNA-seq read data
Description
Usage
Arguments
Details
Description
Counts how many heterogeneous states there are as a function of distance from homogeneous states.
Usage
1
count.states(m, model.strong.ase = TRUE)
Arguments
m
integer, the number of tissues
model.strong.ase
logical, if TRUE then there are three groups, if FALSE then only two groups
Details
MP 24-Feb-2014, 29-Dec-2014
Distance is the smallest number of changes that turns the state into one of the homogeneous states.
Thus maximum distance is m-ceiling(m/3) when model.strong.ase==TRUE, and floor(m/2) when model.strong.ase==FALSE
minimum is 1 (for a heterogeneous state).
anthony-aylward/asepirinen documentation built on May 13, 2019, 11:29 a.m.
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Description Usage Arguments Details
Description
Counts how many heterogeneous states there are as a function of distance from homogeneous states.
Usage
1 | count.states(m, model.strong.ase = TRUE)
|
Arguments
m |
integer, the number of tissues |
model.strong.ase |
logical, if TRUE then there are three groups, if FALSE then only two groups |
Details
MP 24-Feb-2014, 29-Dec-2014
Distance is the smallest number of changes that turns the state into one of the homogeneous states. Thus maximum distance is m-ceiling(m/3) when model.strong.ase==TRUE, and floor(m/2) when model.strong.ase==FALSE minimum is 1 (for a heterogeneous state).
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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