Introducing CHIMeRA: from the development of a comprehensive biomedical database to the analysis of its sub-components.

Bianchi, Stefano (2022) Introducing CHIMeRA: from the development of a comprehensive biomedical database to the analysis of its sub-components. [Laurea magistrale], Università di Bologna, Corso di Studio in Physics [LM-DM270], Documento full-text non disponibile
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Abstract

In this thesis we discuss the expansion of an existing project, called CHIMeRA, which is a comprehensive biomedical network, and the analysis of its sub-components by using graph theory. We describe how it is structured internally, what are the existing databases from which it retrieves information and what machine learning techniques are used in order to produce new knowledge. We also introduce a new technique for graph exploration that is aimed to speed-up the network cover time under the condition that the analyzed graph is stellar; if this condition is satisfied, the improvement in the performance compared to the conventional exploration technique is extremely appealing. We show that the stellar structure is highly recurrent for sub-networks in CHIMeRA generated by queries, which made this technique even more interesting. Finally, we describe the convenience in using the CHIMeRA network for research purposes and what it could become in a very near future.

Abstract
Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Bianchi, Stefano
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Indirizzo
Applied Physics
Ordinamento Cds
DM270
Parole chiave
Network,Random Walk,Database,Biomedical,Clustering,Machine Learning
Data di discussione della Tesi
28 Ottobre 2022
URI

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