scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses
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DOI: 10.1038/s41467-021-22197-x
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Cited by:
- Yunpei Xu & Shaokai Wang & Qilong Feng & Jiazhi Xia & Yaohang Li & Hong-Dong Li & Jianxin Wang, 2024. "scCAD: Cluster decomposition-based anomaly detection for rare cell identification in single-cell expression data," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
- Anjun Ma & Xiaoying Wang & Jingxian Li & Cankun Wang & Tong Xiao & Yuntao Liu & Hao Cheng & Juexin Wang & Yang Li & Yuzhou Chang & Jinpu Li & Duolin Wang & Yuexu Jiang & Li Su & Gang Xin & Shaopeng Gu, 2023. "Single-cell biological network inference using a heterogeneous graph transformer," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
- Junyi Chen & Xiaoying Wang & Anjun Ma & Qi-En Wang & Bingqiang Liu & Lang Li & Dong Xu & Qin Ma, 2022. "Deep transfer learning of cancer drug responses by integrating bulk and single-cell RNA-seq data," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
- Chunman Zuo & Yijian Zhang & Chen Cao & Jinwang Feng & Mingqi Jiao & Luonan Chen, 2022. "Elucidating tumor heterogeneity from spatially resolved transcriptomics data by multi-view graph collaborative learning," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
- Jingxuan Zhu & Juexin Wang & Weiwei Han & Dong Xu, 2022. "Neural relational inference to learn long-range allosteric interactions in proteins from molecular dynamics simulations," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
- Juexin Wang & Jinpu Li & Skyler T. Kramer & Li Su & Yuzhou Chang & Chunhui Xu & Michael T. Eadon & Krzysztof Kiryluk & Qin Ma & Dong Xu, 2023. "Dimension-agnostic and granularity-based spatially variable gene identification using BSP," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
- Zhenchao Tang & Guanxing Chen & Shouzhi Chen & Jianhua Yao & Linlin You & Calvin Yu-Chian Chen, 2024. "Modal-nexus auto-encoder for multi-modality cellular data integration and imputation," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
- Xiaoying Wang & Maoteng Duan & Jingxian Li & Anjun Ma & Gang Xin & Dong Xu & Zihai Li & Bingqiang Liu & Qin Ma, 2024. "MarsGT: Multi-omics analysis for rare population inference using single-cell graph transformer," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
- Zhuohan Yu & Yanchi Su & Yifu Lu & Yuning Yang & Fuzhou Wang & Shixiong Zhang & Yi Chang & Ka-Chun Wong & Xiangtao Li, 2023. "Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
- Jingtao Wang & Gregory J. Fonseca & Jun Ding, 2024. "scSemiProfiler: Advancing large-scale single-cell studies through semi-profiling with deep generative models and active learning," Nature Communications, Nature, vol. 15(1), pages 1-27, December.
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