Endoplasmic reticulum stress promotes hepatocellular carcinoma by modulating immunity: a study based on artificial neural networks and single-cell sequencing.

Zhaorui ChengShuangmei LiShujun YangHuibao LongHaidong WuXuxiang ChenXiaoping ChengTong Wang

Published in: Journal of translational medicine (2024)

The consensus of various machine learning algorithms and artificial intelligence neural networks has established a novel predictive model for the diagnosis of liver cancer associated with ERS. This study offers a new direction for the diagnosis and treatment of HCC.

Keyphrases

neural network
machine learning
artificial intelligence
endoplasmic reticulum stress
single cell
big data
deep learning
induced apoptosis
rna seq
signaling pathway
high throughput
clinical practice
oxidative stress