tcm.core: The core function for optimizaing TCM
In gongx030/tcm: TCM visualizes trajectories and cell populations from single cell data
Description
The core function for optimizaing TCM
Usage
1
2
Arguments
S
a column stochastic matrix (colSums(S) == 1). describing the relationship between free and convolving prototypes
L
Precision matrix defined for the prototypes
optimization.method
optimization method for TCM, either 'batch' or 'stochastic'
batch.size
size of mini batch
mc.cores
number of CPU cores (default: 1)
max.size.per.batch
maximum samples per batch
gongx030/tcm documentation built on June 4, 2019, 7:26 p.m.
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Description
The core function for optimizaing TCM
Usage
1 2 |
Arguments
S |
a column stochastic matrix (colSums(S) == 1). describing the relationship between free and convolving prototypes |
L |
Precision matrix defined for the prototypes |
optimization.method |
optimization method for TCM, either 'batch' or 'stochastic' |
batch.size |
size of mini batch |
mc.cores |
number of CPU cores (default: 1) |
max.size.per.batch |
maximum samples per batch |
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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