Data Mining on Survival Prediction after Chemotherapy for Diffuse Large-B-Cell Lymphoma and Genomics of Metastasis Cancer

摘要

This research pertains to the applications of data mining of microarray databases for large-B-cell Lymphoma and metastasis cancer, for which the latter little has been known about the genomic events that regulate the transformation of a tumor into a metastatic phenotype. The experimental results showed us that lymphoma can be predicted with microarray gene expression data by using naieve Bayesian, random forest and SOM algorithms.