runMCMC: Graph structure and pseudotime inference by Markov chain...
In FangtingZhou/csNet: Cell-specific Gene Regulatory Network Construction via Latent Trajectory
Description
Usage
Arguments
Value
Description
Graph structure and pseudotime inference by Markov chain Monte Carlo (MCMC)
Usage
1
runMCMC(X, d0, maxit, burnin, interval)
Arguments
X
data matrix
d0
number of basis for b-spline
maxit
maximum number of iterations in MCMC
burnin
discard samples before burnin period
interval
retain samples every interval
Value
estimated graph structure G and pseudotime t
FangtingZhou/csNet documentation built on Dec. 11, 2019, 4:59 p.m.
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Description Usage Arguments Value
Description
Graph structure and pseudotime inference by Markov chain Monte Carlo (MCMC)
Usage
1 | runMCMC(X, d0, maxit, burnin, interval)
|
Arguments
X |
data matrix |
d0 |
number of basis for b-spline |
maxit |
maximum number of iterations in MCMC |
burnin |
discard samples before burnin period |
interval |
retain samples every interval |
Value
estimated graph structure G and pseudotime t
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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