This is a course project repository for BIOSTAT625 (Fall 2023) at the School of Public Health, University of Michigan. With the topic Analysis of Liver Hepatocellular Carcinoma Data in R. We aim to explore the capability of statistical modeling of RNA-seq profiles to predict the tumor status of a particular sample for LIHC.

We scripted all the RNA-seq data for LIHC (Liver Hepatocellular Carcinoma) status prediction from the Genomic Data Commons Data Portal and the prepared version was stored under the directory GDCdata/TCGA-LIHC/Transcriptome_Profiling.

The analysis pipeline was implemented in report.Rmd with appropriate comments and notes, and a more readable version has been knitted and updated in report.pdf.