基于图形的循环网络用于特定环境的合成致命性预测

Yuyang Jiang1,2, Jing Wang3, Yixin Zhang2

  • 1Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China.

PubMed
概括

本研究介绍了SLGRN,这是一个新的深度学习模型,用于预测特定上下文的合成致命性 (SL) 相互作用. SLGRN通过准确识别上下文依赖的SL关系来改善向癌症治疗.

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