Reference: Bhalla, S., Kaur, H., Dhall, A., Raghava, GPS. Prediction and Analysis of Skin Cancer Progression using Genomics Profiles of Patients. Sci Rep 9, 15790 (2019) doi:10.1038/s41598-019-52134-4. https://doi.org/10.1038/s41598-019-52134-4

Predicting Cancer state of SKCM sample (Primary or Lympahtic Metastatic tumor) using mRNA expression Data

This tool allows the users to submit RSEM values of mRNA and predict the the cancer status i.e. lymphatic tumor or primary tumor employing RNA expression data of signature mRNAs, resulting from analysis of mRNA-seq data of Skin cutaneous melanoma(SKCM) from TCGA dataset obtained from TCGA assembler-2. This method requires RSEM values of 12 mRNA in each patient to predict patients's status. The first column is mRNA and in second column expression of corresponding mRNA in terms of RSEM value in a particular number of patients. For more information please click Help.

Submit csv file in which each number represents the RSEM value derived from mRNA expression of each subject derived from mRNAseq data of the SKCM:



   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