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			25 lines
		
	
	
	
		
			860 B
		
	
	
	
		
			Text
		
	
	
	
	
	
|  | % Generated by roxygen2: do not edit by hand | ||
|  | % Please edit documentation in R/neural.R | ||
|  | \name{neural} | ||
|  | \alias{neural} | ||
|  | \title{Find genes by training and applying a neural network.} | ||
|  | \usage{ | ||
|  | neural(seed = 180199, n_models = 5) | ||
|  | } | ||
|  | \arguments{ | ||
|  | \item{seed}{The seed will be used to make the results reproducible.} | ||
|  | 
 | ||
|  | \item{n_models}{This number specifies how many sets of training data should | ||
|  | be created. For each set, there will be a model trained on the remaining | ||
|  | training data and validated using this set. For non-training genes, the | ||
|  | final score will be the mean of the result of applying the different | ||
|  | models. There should be at least two training sets. The analysis will only | ||
|  | work, if there is at least one reference gene per training set.} | ||
|  | } | ||
|  | \value{ | ||
|  | An object of class \code{geposan_method}. | ||
|  | } | ||
|  | \description{ | ||
|  | Find genes by training and applying a neural network. | ||
|  | } |