Kernel Based Methods for Microarray and Mass Spectrometry Data Analysis (Kernel gebaseerde methoden voor gegevensanalyse van microroosters en massaspectrometrie) KU Leuven
Kernel learning methods are advanced and powerful techniques that allow the construction of non-linear models for classification and regression problems.
Microarray and mass spectrometry data sources measure the activity and/or expression of thousands of genes and proteins, respectively, on a given set of biological samples. Analysis of the information contained in such samples has become a crucial activity in cancer research during the ...
Microarray and mass spectrometry data sources measure the activity and/or expression of thousands of genes and proteins, respectively, on a given set of biological samples. Analysis of the information contained in such samples has become a crucial activity in cancer research during the ...