Study on Patterns of Human Cancer Using SSN Method

Human cancer, which has complex pathogenesis, is generally relative to the dysfunction of biological systems. Thus, our research is not at molecular level, but at system level, i.e. molecular network. In this paper, specially, we use PPI network. In order to construct a PPI network, we used the SSN method which is proposed by Professor X. Liu and others. The SSN method is distinct from the traditional network methods, especially in screening differential expressed genes. Besides, the traditional network method cannot show characters of disease of every sample. However, the SSN method has this ability because of its unique character. The main purpose of this thesis is to analyze the high-throughput sequencing data of 8 human cancers by using the SSN method. We programmed to realize most of the research and the other part was realized by web tools. Our work included introducing the SSN method theoretically and analyzing data of human cancer by the SSN method. It was proved that the SSN method was feasible and reliable in the study of human cancer in this thesis. The SSN method proposes a new way in construction of biomolecular networks, which is a great promotion.