ForecastStates: Predict cell state transition graph using data simulated...
In rahuldhodapkar/crules: Association Rule Learning Toolkit for Single Cells
Description
Usage
Arguments
Value
Description
Predict cell state transition graph using data simulated using
association rules, weighted by rule confidence.
Usage
1
ForecastStates(exp.mat, rules, tau = 0.2, n.sim.steps = 5)
Arguments
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 new expression matrix E^t after 'n.sim.steps' simulation
steps with time constant tau
rahuldhodapkar/crules documentation built on Jan. 21, 2022, 2:06 p.m.
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.
Description Usage Arguments Value
Description
Predict cell state transition graph using data simulated using association rules, weighted by rule confidence.
Usage
1 | ForecastStates(exp.mat, rules, tau = 0.2, n.sim.steps = 5)
|
Arguments
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 new expression matrix E^t after 'n.sim.steps' simulation steps with time constant tau
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.