Reference: Kaur H, Dhall A, Kumar R and Raghava GPS (2020) Identification of Platform-Independent Diagnostic Biomarker Panel for Hepatocellular Carcinoma Using Large-Scale Transcriptomics Data. Front. Genet. 10:1306. doi: 10.3389/fgene.2019.01306 https://www.frontiersin.org/articles/10.3389/fgene.2019.01306/full

Predicting Cancer status from RNA expression data


This tool allows the users to submit RMA values of mRNA and predict the the cancer status i.e. metastatic or primary tumor employing RNA expression data of signature mRNAs, resulting from analysis of mRNA-seq data of Hepatocellular Carcinoma(HCC). This method requires RMA values of 5 HCC biomarker genes in each patient to predict patients's status. The first column is mRNA and in second column expression of corresponding mRNA in terms of RMA value in a particular number of patients. For more information please click Help.

Submit csv file in which each number represents the RMA value derived from mRNA expression of each subject derived from mRNAseq data of the HCC:
OR Submit sequence file: 
Choose method:
ETREES        Choose threshold:                                              SVC-rbf        Choose threshold:      

    
                                                                                                                                                             


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