Identification and Validation of Prognostically Relevant Gene Signature in Melanoma.

ABSTRACT:

Background

Currently, effective genetic markers are limited to predict the clinical outcome of melanoma. High-throughput multiomics sequencing data have provided a valuable approach for the identification of genes associated with cancer prognosis.

Method

The multidimensional data of melanoma patients, including clinical, genomic, and transcriptomic data, were obtained from The Cancer Genome Atlas (TCGA). These samples were then randomly divided into two groups, one for training dataset and the other for validation dataset. In order to select reliable biomarkers, we screened prognosis-related genes, copy number variation genes, and SNP variation genes and integrated these genes to further select features using random forests in the training dataset. We screened for robust bio

SUBMITTER: Gao Y 

PROVIDER: S-EPMC7238332 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature