maGENEgerZ: An Efficient Artificial Intelligence-Based Framework Can Extract More Expressed Genes and Biological Insights Underlying Breast Cancer Drug …
T Turki, Y Taguchi - Mathematics, 2024 - mdpi.com
Understanding breast cancer drug response mechanisms can play a crucial role in
improving treatment outcomes and survival rates. Existing bioinformatics-based approaches …
improving treatment outcomes and survival rates. Existing bioinformatics-based approaches …
maGENEgerZ: An Efficient AI-Based Framework Can Extract More Expressed Genes and Biological Insights Underlying Breast Cancer Drug Response Mechanism
T Turki, Y Taguchi - bioRxiv, 2023 - biorxiv.org
Understanding breast cancer drug response mechanism can play a crucial role in improving
the treatment outcomes and survival rates. Existing bioinformatics-based approaches are far …
the treatment outcomes and survival rates. Existing bioinformatics-based approaches are far …
Perspectives on the potential application of microRNAs in the diagnosis and treatment of triple-negative breast cancer
Y Wu, H Song, H Shi, G Wang - Oncology and Translational …, 2024 - journals.lww.com
Triple-negative breast cancer (TNBC) is currently the most heterogeneous and aggressive
breast cancer type. It has a high recurrence rate, poor clinical prospects, and lack of …
breast cancer type. It has a high recurrence rate, poor clinical prospects, and lack of …