Machine learning and statistical analysis to identify determinants of survival in primary glioblastoma using genome wide expression studies

Abstract

Machine learning and statistical analysis to identify determinants of survival in primary glioblastoma using genome wide expression studies Dissertation for the award of the degree "Doctor rerum naturalium" of the Georg-August-Universität Göttingen within the doctoral program Environmental Informatics (PEI) of the Georg-