Identification of potential biomarkers for hepatocellular carcinoma based on machine learning and bioinformatics analysis

Identification of potential biomarkers for hepatocellular carcinoma based on machine learning and bioinformatics analysis

Abstract Metastasis is the major cause of hepatocellular carcinoma (HCC) mortality. But the effective biomarkers for HCC metastasis remain underexplored. Here we integrated GEO (Gene Expression Omnibus) and TCGA (The Cancer Genome Atlas) datasets to screen candidate genes for hepatocellular carcinom...

Full description

Saved in:
Bibliographic Details
Main Authors: Chen Chen, Rui Peng, Shengjie Jin, Yuhong Tang, Huanxiang Liu, Daoyuan Tu, Bingbing Su, Shunyi Wang, Guoqing Jiang, Jun Cao, Chi Zhang, Dousheng Bai
Format: Article
Language:English
Published: Springer 2024-12-01
Series:Discover Oncology
Subjects:
Hepatocellular carcinoma
Metastasis
Machine learning
Prognosis
Bioinformatics
Online Access:https://doi.org/10.1007/s12672-024-01667-w
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1007/s12672-024-01667-w

Similar Items