Reference: Dhall A, Patiyal S, Kaur H, Bhalla S, Arora C, Raghava GPS. Computing Skin Cutaneous Melanoma Outcome From the HLA-Alleles and Clinical Characteristics. Front Genet. 2020;11:221. Published 2020 Mar 26. doi:10.3389/fgene.2020.00221 (https://pubmed.ncbi.nlm.nih.gov/32273881/)

Risk Status Prediction on the basis of clinical characterstics and HLA-superalleles

This module is used to predict the Risk Status of SKCM patients with the given information entered in the textbox. Estimation is done on the basis of clinical features such as age, tumor stage, gender, tumor status and breslow depth with all 121 HLA superalleles(classI and II). For more information, refer to Algorithm and HELP pages.
NOTE: All entry box must have some value greater than equal to 0, otherwise results will not get displayed.

Submit csv file in which each number represents clinical features & their HLA-alleles derived from each subject:
OR Select file: