CancerLSP: Classification of early and late stage liver hepatocellular carcinoma patients from their genomics and epigenomics profiles

Welcome to the official repository for the study focused on classification of early and late stage Liver Hepatocellular Carcinoma (LIHC) using genomics and epigenomics data. The study utilizes RNA expression and DNA methylation profiles combined with machine learning approaches for cancer stage prediction. Web Server: https://webs.iiitd.edu.in/raghava/cancerlsp/ Citation Kaur, H., Bhalla, S., & Raghava, G. P. S. (2019). Classification of early and late stage liver hepatocellular carcinoma patients from their genomics and epigenomics profiles. PLOS ONE, 14(9), e0221476. https://doi.org/10.1371/journal.pone.0221476 About the Study Liver Hepatocellular Carcinoma (LIHC) is one of the most common and deadly cancers worldwide. Early-stage diagnosis is critical for effective treatment and improved patient survival. This study presents computational models that classify: Early-stage vs Late-stage LIHC patients Cancerous vs Normal tissue samples Multi-class classification among normal, early-stage, and late-stage samples The prediction models are based on: RNA transcript expression profiles DNA methylation CpG sites Hybrid genomics and epigenomics features