About eHCC-pred (An early HCC diagnosis web server)

This web server was developed to diagnose early HCC with gene expression profiles, which contained mRMR+SVM predictor and MRMD+SVM predictor. The results of MRMD+SVM predictor and mRMR+SVM predictor showed high prediction performance (AUC≥0.92) on both training sets and validation data sets, demonstrating that MRMD+SVM predictor and mRMR+SVM predictor have excellent performance in the diagnosis of early HCC at individual level and they would be helpful for improving clinical decision of HCC diagnosis.

Run Results

Setp1: Upload your file (Select File, .csv)

Setp2: Select feature selection method (mRMR or MRMD)for feature encoding.

New profiles encoded by 1, 0 were generated, where 1 represented Gi > Gj, 0 denoted Gi < Gj, -1 denoted other cases (Gi = Gj ) or ( Gi or Gj does not exist), respectively.

Setp3: Select predictors (MRMD+SVM predictor or mRMR+SVM predictor)

The mRMR+SVM predictor contained 11 gene pairs and MRMD+SVM predictor contained 28 gene pairs.

NOTE:

• (1)For each submission, the number of samples is limited at 100 or less and in csv format.
• (2)For input data, each row represents the expression of a gene, each column represents a sample.