Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Background: Evaluating the importance of the different sources of variations is essential in microarray data experiments. Complex experimental designs generally include various fa...
Data mining (DM) research has successfully developed advanced DM techniques and algorithms over the last few decades, and many organisations have great expectations to take more be...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
Background: Several entropy-based methods have been developed for scoring sequence conservation in protein multiple sequence alignments. High scoring amino acid positions may corr...
Due to the technical developments in electronics the amount of digital content is continuously increasing. In order to make digital content respectively multimedia content availab...
Thomas Plagemann, Vera Goebel, Andreas Mauthe, Lau...