Revealing cell-level gene regulation through integration of single-cell multi-omics measurements

总结 我们建议使用可见神经网络（VNN）模型来识别单细胞中miRNA-mRNA的相互作用 水平我们将首先对两种类型的VNN模型进行比较和基准测试，并找到最好的VNN模型。接下来我们就 将最好的VNN模型整合到我们的VNN模型中，通过整合单细胞 多组学测量。我们期望开发计算方法来更好地理解miRNA-mRNA 监管，这将为疾病的诊断，治疗和预防奠定坚实的基础。

Summary We propose to use a visible neural network (VNN) model to identify miRNA-mRNA interactions at the single-cell level. We will first compare and benchmark the two types of VNN models and find the best VNN model. Next, we will incorporate the best VNN model into our VNN model to identify miRNA-mRNA interactions by integrating single-cell multi-omics measurements. We expect to develop computational methods to understand better miRNA-mRNA regulation, which would lay a solid foundation for disease diagnosis, treatment, and prevention.