The explosive growth of genomic, chemical, and pathological data provides new opportunities and challenges for humans to thoroughly understand life activities in cells. However, there exist few computational models that aggregate various bioentities to comprehensively reveal the physical and functional landscape of biological systems.

中文翻译：

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Bioentity2vec：用于预测生物实体之间多类型关系的属性和行为驱动表示。

基因组、化学和病理数据的爆炸式增长为人类彻底了解细胞中的生命活动提供了新的机遇和挑战。然而，很少有计算模型可以聚合各种生物实体来全面揭示生物系统的物理和功能景观。