HIGHLIGHTS
- who: Qingyu Zhang and collaborators from the Hospital of Stomatology, Jilin University, Changchun, China have published the research work: Identification of Endoplasmic Reticulum Stress-Related Biomarkers of Periodontitis Based on Machine Learning: A Bioinformatics Analysis, in the Journal: Disease Markers of 29/08/2022
- what: The authors obtained three periodontitisrelated microarray datasets from the GEO database and randomized all samples into two sets. In the present study, a gene was considered to have high predictive diagnostic efficiency and could be identified as a potential biomarker if its AUC was greater than 0.85 in both . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.