Machine learning-based models for genomic predicting neoadjuvant chemotherapeutic sensitivity in cervical cancer. (2023)
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.biopha.2023.114256
PubMed Identifier: 36652730
Publication URI: http://europepmc.org/abstract/MED/36652730
Type: Journal Article/Review
Volume: 159
Parent Publication: Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
ISSN: 0753-3322