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A DNA microarray can measure the expression of thousands of genes simultaneously, and this enables us to study the … selection algorithms to the AMD microarray dataset. In this paper four methods are utilized to perform feature selection: Naïve … Bayes, Random Forest, Random Lasso, and Ensemble Feature Selection. Functional Annotation of 20 final selected genes …
Persistent link: https://www.econbiz.de/10012048138
One of the remarkable results of the rapid advances in information technology is the production of tremendous amounts of data sets, so large or complex that available processing methods are inadequate, among these methods cluster analysis. Clustering becomes more challenging and complex. In this...
Persistent link: https://www.econbiz.de/10012042941
One of the prominent issues in Genetic Algorithm (GA) is premature convergence on local optima. This restricts the enhanced optimal solution searching in the entire search space. Population size is one of the influencing factors in Genetic Algorithm. Increasing the population size will improvise...
Persistent link: https://www.econbiz.de/10012046196
Biclustering is the unsupervised learning task of mining a data matrix for useful submatrices, for instance groups of genes that are co-expressed under particular biological conditions. As these submatrices are expected to partly overlap, a significant challenge in biclustering is to develop...
Persistent link: https://www.econbiz.de/10012046198