Optimal Modeling of Anti-Breast Cancer Candidate Drugs Based on Graph Model Feature Selection

Breast cancer is one of the most widespread and fatal cancers in women. At present, anticancer drug-inhibiting estrogen receptor α subtype (ERα) can greatly improve the cure rate for breast cancer patients, so the research and development of this kind of drugs are very urgent. In this paper, the pro...

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Detalles Bibliográficos
Autores principales: Chen, Rongyuan, He, Zhixiong, Huang, Shaonian, Shen, Lizhi, Zhou, Xiancheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448531/
https://www.ncbi.nlm.nih.gov/pubmed/36081436
http://dx.doi.org/10.1155/2022/8418048

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448531/
https://www.ncbi.nlm.nih.gov/pubmed/36081436
http://dx.doi.org/10.1155/2022/8418048

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