Deep learning tackles single-cell analysis - A survey of deep learning for scRNA-seq analysis
Mario Flores1§, Zhentao Liu1, Tinghe Zhang1, Md Musaddaqui Hasib1, Yu-Chiao Chiu2, Zhenqing Ye2,3, Karla Paniagua1, Sumin Jo1, Jianqiu Zhang1, Shou-Jiang Gao4,6, Yufang Jin1, Yidong Chen2,3§, and Yufei Huang5,6§
2021-11-28
About the authors
§ Corresponding authors
Mario Flores (mario.flores@utsa.edu)
Yidong Chen (cheny8@uthscsa.edu)
Yufei Huang (yuh119@pitt.edu)
Affiliations
1Department of Electrical and Computer Engineering, the University of Texas at San Antonio, San Antonio, TX 78249, USA
2Greehey Children’s Cancer Research Institute, University of Texas Health San Antonio, San Antonio, TX 78229, USA
3Department of Population Health Sciences, University of Texas Health San Antonio, San Antonio, TX 78229, USA
4Department of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, PA 15232, USA
5Department of Medicine, School of Medicine, University of Pittsburgh, PA 15232, USA
6UPMC Hillman Cancer Center, University of Pittsburgh, PA 15232, USA
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