HCC Big Data Analytics Tools Matrix

HepCAT (NEW+Recommendation)

Our latest feature-rich public data mining tool specialized in hepatocellular carcinoma (HCC), encompassing bulk RNA data, single-cell RNA sequencing data, and spatial transcriptomics data. It is designed for the discovery of HCC-related genes of interest.

IHGA (Stop updating, try HepCAT instead)

Integrated analysis of gene expression profiling based on large-scale datasets, including analysis of expression levels, correlation, clinical features, prognosis, immune-related factors, and drug sensitivity. Rapidly identifying candidate genes of interest in hepatocellular carcinoma.

PerturbGen HCC (coming soon)

Analyzing transcriptome changes in HCC cells after drug treatment and genetic perturbations.

EzOncoMod (coming soon)

Rapidly building a model for predicting HCC prognosis and treatment efficacy using machine learning algorithms, including online COX proportional hazard analysis, forest plot, nomogram, ROC curve, calibration curve, and decision curve analysis