RunLTMG {IRISFGM} | R Documentation |
We will use Left-truncated Mixture Gaussian distribution to model the regulatory signal of each gene. Parameter, 'Gene_use', decides number of top high variant gene for LTMG modeling, and here we use all genes.
RunLTMG(object, ...) .RunLTMG(object, Gene_use = NULL, k = 5) ## S4 method for signature 'IRISFGM' RunLTMG(object, Gene_use = NULL, k = 5)
object |
Input IRIS-FGM object |
... |
other arguments passed to methods |
Gene_use |
using X numebr of top variant gene. input a number, recommend 2000. |
k |
Number of components. |
it will reture a LTMG signal matrix
# If you want to explore DEG, we recommend you should use top 2000 highly variant gene. data("example_object") example_object <- RunLTMG(example_object, Gene_use = "200", k = 5)