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 Metastatic tumor) using miRNA expression Data

This tool allows the users to submit RSEM values of miRNA and predict the the cancer status i.e. metastatic or primary tumor employing RNA expression data of signature miRNAs, resulting from analysis of miRNA-seq data of Skin cutaneous melanoma(SKCM) from TCGA dataset obtained from TCGA assembler-2. This method requires RSEM values of 32 miRNA in each patient to predict patients's status. The first column is miRNA and in second column expression of corresponding miRNA 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 miRNA expression of each subject derived from miRNAseq 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