Spherical Self-Organizing Map Detects MYBL 1 As Candidate Gene for Triple-Negative Breast Cancer

摘要

Background: Discovering mechanism of pathogenesis, growth or metastasis of triple-negative breast cancer (TNBC) is necessary to establish future therapy. An effective analysis is required for microarray information to identify genes highly involved to a disease phenotype from thousands of genes. Methods: We have applied self-organizing map, a clustering method that could simplify complex high-dimensional data as concise low-dimensional and graphical maps, for analysis of large amounts of microarray data. In this study, similarities of expression data of the genes expressing in breast cancer were visually represented by spherical self-organizing map (sSOM).