Quantitative Detection of Gastrointestinal Tumor Markers Using a Machine Learning Algorithm and Multicolor Quantum Dot Biosensor

This work was to explore the application value of gastrointestinal tumor markers based on gene feature selection model of principal component analysis (PCA) algorithm and multicolor quantum dots (QDs) immunobiosensor in the detection of gastrointestinal tumors. Based on the PCA method, the neighborh...

Descripción completa

Detalles Bibliográficos
Autores principales: Saren, Gaowa, Zhu, Linlin, Han, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9458379/
https://www.ncbi.nlm.nih.gov/pubmed/36093502
http://dx.doi.org/10.1155/2022/9022821

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9458379/
https://www.ncbi.nlm.nih.gov/pubmed/36093502
http://dx.doi.org/10.1155/2022/9022821

Ejemplares similares