Multi-target QPDR classification model for human breast and colon cancer-related proteins using star graph topological indices.

ABSTRACT: The cancer diagnostic is a complex process and, sometimes, the specific markers can interfere or produce negative results. Thus, new simple and fast theoretical models are required. One option is the complex network graphs theory that permits us to describe any real system, from the small molecules to the complex genetic, neural or social networks by transforming real properties in topological indices. This work converts the protein primary structure data in specific Randic's star networks topological indices using the new sequence to star networks (S2SNet) application. A set of 1054 proteins were selected from previous works and contains proteins related or not with two types of cancer, human breast cancer (HBC) and human colon cancer (HCC). The general discriminant analysis method genera

SUBMITTER: Munteanu CR 

PROVIDER: S-EPMC7094125 | biostudies-literature | 2009 Mar

REPOSITORIES: biostudies-literature