Cancer prediction with gene expression profiling and differential evolution

In the field of bioinformatics, the classification of tumors is a difficult and time-consuming task. When diagnosing cancer, gene expression levels are typically one of the most useful tools. However, the biological noise present in microarray data leads to unsatisfactory precision and accuracy. The...

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