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										 |  |  | \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. | 
					
						
							|  |  |  | } |