日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

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

利用随机森林算法结合信号通路布尔建模特征,对乳腺癌药物协同作用进行可解释预测

Taoma, Kittisak; Ruengjitchatchawalya, Marasri; Kusonmano, Kanthida; Termsaithong, Teerasit; Sutthibutpong, Thana; Liangruksa, Monrudee; Laomettachit, Teeraphan

Interpreting drug synergy in breast cancer with deep learning using target-protein inhibition profiles

利用靶蛋白抑制谱,通过深度学习解读乳腺癌药物协同作用

Srithanyarat, Thanyawee; Taoma, Kittisak; Sutthibutpong, Thana; Ruengjitchatchawalya, Marasri; Liangruksa, Monrudee; Laomettachit, Teeraphan

Stochastic Boolean model of normal and aberrant cell cycles in budding yeast

出芽酵母正常和异常细胞周期的随机布尔模型

Taoma, Kittisak; Tyson, John J; Laomettachit, Teeraphan; Kraikivski, Pavel

Boolean modeling of breast cancer signaling pathways uncovers mechanisms of drug synergy

乳腺癌信号通路布尔建模揭示药物协同作用机制

Taoma, Kittisak; Ruengjitchatchawalya, Marasri; Liangruksa, Monrudee; Laomettachit, Teeraphan