Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models

Cited by (702)

Items 701–702 of 702

1. scOmnom: scalable end-to-end single-cell RNA-seq analysis with auditable resolution selection
   Iman Man Hu, Artemiy Kovynev, Abraham Stijn Meijnikman · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
2. Generation of scRNA-seq Data by Combining Generation Adversarial Network and Label
   Xiaoshu Zhu, Tiezheng Qiao, Fei Teng, Qintong Lyu, Ya Zhou, Chunrong Xiong · 2026 · International Conference on Information Science and Technology