A multi-use deep learning method for CITE-seq and single-cell RNA-seq data integration with cell surface protein prediction and imputation
一种用于CITE-seq和单细胞RNA-seq数据整合以及细胞表面蛋白预测和插补的多用途深度学习方法.
一种用于CITE-seq和单细胞RNA-seq数据整合以及细胞表面蛋白预测和插补的多用途深度学习方法.
通过scVAEIT实现单细胞多模态混合整合与插补的鲁棒概率建模.
使用totalVI进行单细胞多组学数据联合概率建模.
单细胞多组学主题嵌入揭示了细胞类型特异性和与 COVID-19 严重程度相关的免疫特征.
Follow the Music Westward and Leave the Rest to Fate.
(Shannxi Chapter) Yulin: The Frontier Pearl of the Loess Plateau.