Data files used for exploring BRAF mutation-associated gene risk model for predicting the prognosis of melanoma

doi: 10.4121/21532917.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/21532917
Datacite citation style:
Xiang Huang (2022): Data files used for exploring BRAF mutation-associated gene risk model for predicting the prognosis of melanoma. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21532917.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
usage stats
426
views
1545
downloads
categories
licence
cc-by.png logo CC BY 4.0

We identified significantly enriched KEGG pathways and corresponding genes in the BRAF mutant group via GSEA. For the first time, a prognostic signature based on seven BRAF-related genes with an independent prognostic value for melanoma patients and related to immune cell infiltration and checkpoint was constructed and validated. Furthermore, we established a nomogram based on the prognostic signature and independent clinical characteristics, providing a tool for the objective assessment of the survival rate of melanoma patients. 


history
  • 2022-11-14 first online, published, posted
publisher
4TU.ResearchData
format
*.gmt; .txt; *.tsv; *.xlsx
organizations
Guizhou Medical University

DATA

files (32)