%0 Journal Article %1 journals/tnn/ZhangGZZL24 %A Zhang, Dai-Jun %A Gao, Ying-Lian %A Zhao, Jing-Xiu %A Zheng, Chun-Hou %A Liu, Jin-Xing %D 2024 %J IEEE Trans. Neural Networks Learn. Syst. %K dblp %N 2 %P 2473-2483 %T A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection. %U http://dblp.uni-trier.de/db/journals/tnn/tnn35.html#ZhangGZZL24 %V 35

@article{journals/tnn/ZhangGZZL24, added-at = {2024-02-29T00:00:00.000+0100}, author = {Zhang, Dai-Jun and Gao, Ying-Lian and Zhao, Jing-Xiu and Zheng, Chun-Hou and Liu, Jin-Xing}, biburl = {https://www.bibsonomy.org/bibtex/27ed4bd89b729291422b1d52731d847ae/dblp}, ee = {https://doi.org/10.1109/TNNLS.2022.3190289}, interhash = {cc1cd84046f228b43064a579cf193ce1}, intrahash = {7ed4bd89b729291422b1d52731d847ae}, journal = {IEEE Trans. Neural Networks Learn. Syst.}, keywords = {dblp}, month = {February}, number = 2, pages = {2473-2483}, timestamp = {2024-04-09T06:41:36.000+0200}, title = {A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection.}, url = {http://dblp.uni-trier.de/db/journals/tnn/tnn35.html#ZhangGZZL24}, volume = 35, year = 2024 }