Background: Evaluating the importance of the different sources of variations is essential in microarray data experiments. Complex experimental designs generally include various fa...
Background: Recent advances in global genomic profiling methodologies have enabled multidimensional characterization of biological systems. Complete analysis of these genomic prof...
Bryan Chi, Ronald J. deLeeuw, Bradley P. Coe, Raym...
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Background: Tissue MicroArray technique is becoming increasingly important in pathology for the validation of experimental data from transcriptomic analysis. This approach produce...
Federica Viti, Ivan Merelli, Andrea Caprera, Barba...
A new stochastic method for locating the global minimum of a multidimensional function inside a rectangular hyperbox is presented. A sampling technique is employed that makes use ...