Interpretable prediction of drug synergy for breast cancer by random forest with features from Boolean modeling of signaling pathways

Related articles

1. Targeting Macrophage-Associated Core Genes for Prognostic Prediction and Therapeutic Insights in Bladder Cancer

   This article has 11 authors:

   1. HaoLin Liu
   2. Yuanqi Chu
   3. Jian Hou
   4. Yumin Wang
   5. Junxiong Li
   6. Jingbo Qin
   7. Pinyao Liang
   8. Guoqiang Liao
   9. Peng Gu
   10. XiaoDong Liu
   11. Xiangyang Wen

2. A tumor-agnostic, topology-informed scoring framework for drug repurposing: application to CDK4/6 inhibitor resistance in HR+ breast cancer

   This article has 6 authors:

   1. Keyang Qian
   2. Zijie Cai
   3. Mengzi Wu
   4. Jiayi Liu
   5. Yong Mao
   6. Qiang Liu

3. Machine learning identifies prognosticators of intracranial metastatic disease in patients with breast or lung cancer

   This article has 4 authors:

   1. Sunit Das
   2. Marco Istasy
   3. Amol Verma
   4. Katarzyna Jerzak