Application of Novel Transcription Factor Machine Learning Model and Targeted Drug Combination Therapy Strategy in Triple Negative Breast Cancer

Transcription factors (TFs) have been shown to play a key role in the occurrence and development of tumors, including triple-negative breast cancer (TNBC), with a worse prognosis. Machine learning is widely used for establishing prediction models and screening key tumor drivers. Current studies lack...

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Detalles Bibliográficos
Autores principales: Pang, Jianyu, Li, Huimin, Zhang, Xiaoling, Luo, Zhengwei, Chen, Yongzhi, Zhao, Haijie, Lv, Handong, Zheng, Hongan, Fu, Zhiqian, Tang, Wenru, Sheng, Miaomiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10487460/
https://www.ncbi.nlm.nih.gov/pubmed/37686305
http://dx.doi.org/10.3390/ijms241713497

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10487460/
https://www.ncbi.nlm.nih.gov/pubmed/37686305
http://dx.doi.org/10.3390/ijms241713497

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