Classification of DNA microarrays using artificial neural networks and ABC algorithm
ABC algorithm discovered the best set of genes to classify correctly cancer samples. With less than 1% of information is possible to classify with an accuracy of 93.2%. Multilayer perceptron performs better than radial basis function network.
dna microarrays artificial neural networks pattern recognition cancer classification artificial bee colony algorithm