Identifying New Potential Biomarkers in Adrenocortical Tumors Based on mRNA Expression Data Using Machine Learning

Identifying New Potential Biomarkers in Adrenocortical Tumors Based on mRNA Expression Data Using Machine Learning

Adrenocortical carcinoma (ACC) is a rare disease, associated with poor survival. Several “multiple-omics” studies characterizing ACC on a molecular level identified two different clusters correlating with patient survival (C1A and C1B). We here used the publicly available transcriptome data from the...

Full description

Bibliographic Details
Main Authors: André Marquardt, Laura-Sophie Landwehr, Cristina L. Ronchi, Guido di Dalmazi, Anna Riester, Philip Kollmannsberger, Barbara Altieri, Martin Fassnacht, Silviu Sbiera
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Cancers
Subjects:
adrenocortical carcinoma
in silico analysis
machine learning
bioinformatic clustering
biomarker prediction
Online Access:https://www.mdpi.com/2072-6694/13/18/4671

Internet

https://www.mdpi.com/2072-6694/13/18/4671

Similar Items