%0 Journal Article %1 rao2021imputing %A Rao, Jiahua %A Zhou, Xiang %A Lu, Yutong %A Zhao, Huiying %A Yang, Yuedong %D 2021 %I Elsevier %J Iscience %K paper:fastcor citedby:scholar:count:9 citedby:scholar:timestamp:2021-7-22 %N 5 %P 102393 %T Imputing single-cell RNA-seq data by combining graph convolution and autoencoder neural networks %V 24

@article{rao2021imputing, added-at = {2021-07-23T00:27:29.000+0200}, author = {Rao, Jiahua and Zhou, Xiang and Lu, Yutong and Zhao, Huiying and Yang, Yuedong}, biburl = {https://www.bibsonomy.org/bibtex/22dd280195a014ddece6abc1a0f939818/becker}, interhash = {cf1b73ccac2a969bf64b3b33e3b37f12}, intrahash = {2dd280195a014ddece6abc1a0f939818}, journal = {Iscience}, keywords = {paper:fastcor citedby:scholar:count:9 citedby:scholar:timestamp:2021-7-22}, number = 5, pages = 102393, publisher = {Elsevier}, timestamp = {2021-07-23T00:27:29.000+0200}, title = {Imputing single-cell RNA-seq data by combining graph convolution and autoencoder neural networks}, volume = 24, year = 2021 }