GenerateMarkovTrace: Generate Markov trace for simulation of 'exp.mat' on the...
In rahuldhodapkar/crules: Association Rule Learning Toolkit for Single Cells
Description
Usage
Arguments
Value
Description
Generate Markov trace for simulation of 'exp.mat' on the provided set of 'rules'
with time constant tau and for n.sim.steps steps.
Usage
1
GenerateMarkovTrace(ids, exp.mat, rules, tau = 0.2, n.sim.steps = 5)
Arguments
ids
a vector of cell identities (e.g. cluster ids, cell types)
exp.mat
a cell (row) by gene (column) expression matrix
of class 'ngCMatrix'
rules
a rules object
tau
time constant for simulation
n.sim.steps
total number of simulation steps to run.
Value
a (cell x sim step) matrix capturing cell states at each step of the
simulation for fitting to a markov model.
rahuldhodapkar/crules documentation built on Jan. 21, 2022, 2:06 p.m.
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Description Usage Arguments Value
Description
Generate Markov trace for simulation of 'exp.mat' on the provided set of 'rules' with time constant tau and for n.sim.steps steps.
Usage
1 | GenerateMarkovTrace(ids, exp.mat, rules, tau = 0.2, n.sim.steps = 5)
|
Arguments
ids |
a vector of cell identities (e.g. cluster ids, cell types) |
exp.mat |
a cell (row) by gene (column) expression matrix of class 'ngCMatrix' |
rules |
a rules object |
tau |
time constant for simulation |
n.sim.steps |
total number of simulation steps to run. |
Value
a (cell x sim step) matrix capturing cell states at each step of the simulation for fitting to a markov model.
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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