Reference: Kaur H et. al., (2019) Classification of early and late stage liver hepatocellular carcinoma
patients from their genomics and epigenomics profiles. PLoS One. 14(9):e0221476.

Predicting Cancer Status of a Single Subject/patient from mRNA Expression Data

This tool allows the users to submit FPKM values of mRNA and predict the disease's condition using mRNA expression data of 5 signature mRNAs, resulting from analysis of mRNA-seq data of Liver Hepatocelluar Carcinoma from TCGA dataset downloaded from GDC Data portal . This method requires FPKM values of 5 mRNA in each patient to predict whether subject have normal or cancerous status. The first column is mRNA and in second column expression of corresponding mRNA in terms of FPKM value in a particular number of patients. For more information please click Help.

Submit csv file in which each number represents the FPKM value obtained from mRNA expression of each pateint derived from mRNAseq data of the subject:



   Example csv file    Choose SVM threshold:                  SVM threshold is required for prediction. Moving the threshold value in either direction (positive or negative) will lead to increase in probability of correct prediction in that direction