Recently Published

Taller5
Part4 GSE305165 EBV and 3 Lympomas CHL & pDLBCL & mDLBCL analysis and machine learning
In this part 4 of the project analyzing the research study on GSE305165, we finish the top Genes of the study using the genes found from the study, some background information presented as well from the study, compare findings and analyze the findings by age and gender within each of the 3 types of EBV large B-cell lymphomas. We then do a random forest classifier on the model using all the research genes available and the featured study genes to see how well the target genes could predict only within each type of the 3 lymphomas and then only within the 4 proposed classes of lymphomas. The results are that the transition state did score points in the 4 class model where the CHL and pDLBCL failed to predict with a standard random forest classifier. All genes included some lactate dehydrogenase genes said to be used in labeling the latent type 3 of EBV along with other factors of mDLBCL. More to analyze in Part5 with the subset groups of age and gender within each class of lymphoma to see how well those genes can predict in a standard random forest classifier a 3 class and then a 4 class model.
Lab 12
pca_with_NA
Week 12 Data Dive