GenomicsbioRxivPreprint
Predicting biomarker for the acute pulmonary embolism by using gene ontology and machine learning
Kun Zhou, Hui Duan, Zhao Chen, Hao Hu
The paper uses gene ontology and machine learning to identify a gene expression signature for acute pulmonary embolism, achieving an AUC of 0.89 in distinguishing patients from controls.
DOI 10.1101/2023.12.18.572107