| Popis: |
In this work we develop and present a set of novel computational techniques which address the problems of ICR-FT-MS data mining. The described methodology focuses mainly on two scopes of biogeochemical research, namely the analysis of natural organic matter (NOM) and metabolomics. The development of our approaches focuses on the fields of graph theory, machine learning, and combinatorics. Detailed results of our methods are produced, presented, and evaluated within their corresponding sections. |
