Modeling Based on Ensemble Learning Methods for Detection of Diagnostic Biomarkers from LncRNA Data in Rats Treated with Cis-Platinum-Induced Hepatotoxicity.

Zeynep Kucukakcali Cemil ÇolakHarika Gozde Gozukara BagIpek Balikci CicekOnural OzhanAzibe YildizNefsun DanisAhmet KocHakan ParlakpinarSami Akbulut

Published in: Diagnostics (Basel, Switzerland) (2023)

Among the ensemble algorithms, the stacking technique yielded higher performance results as compared to the bagging and boosting methods on the transcriptomic data. More comprehensive studies can support the possible biomarkers determined due to the research and the decisive results for the diagnosis of drug-induced hepatotoxicity.

Keyphrases

drug induced
liver injury
electronic health record
big data
machine learning
convolutional neural network
adverse drug
single cell
neural network
long non coding rna
oxidative stress
diabetic rats
endothelial cells
high glucose