Sequence Classification Using Support Vector Machines

This book is about classification of nucleotide chains from yeast metabolic cycle data. First of all, the goals and the data set will be explained. After that an introduction in classification tasks, machine learning and support vector machines will be given and the so called Motif-Kernel will be introduced. Furthermore, all used techniques will be explained in detail. Another very important part of this book is the statistical analysis of the data set and of the results. The results of the different methods will be compared and discussed in detail. The last chapter is a short summary of the results.

Autorentext

Thomas Otzasek, M.Stat. M.Sc. studied Statistics and Bioinformatics at the University of Linz. He is working as a Software Engineer and shares his passion for Statistics with his students when teaching at the University of Linz. His greatest strength is the combination of thinking interdisciplinary and simplifying complex issues.