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

Gene wise analysis of cancer genomics data

This tool allows the analysis of cancer genomics data in the form of RMA values in batch mode. User can submit the RMA values of genes and analyze whether the score of the sample is above or below the given threshold. If gene is overexpressed in HCC or cancerous condition, and score of sample:w is above threshold then its chance that the patient is in Cancerous. Thus user can see what is the expression status of each gene, which can point towards whether the samples is cancerous or normal.

Submit csv file in which each number represents the RSEM value derived from genomics value of each pateint derived from RNAseq data of the cancer patient:


                                                      OR

   Example csv file   

                

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