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Deep learning applications in single-cell omics data analysis
View ORCID ProfileNafiseh Erfanian, View ORCID ProfileA. Ali Heydari, Pablo Iañez, View ORCID ProfileAfshin Derakhshani, View ORCID ProfileMohammad Ghasemigol, View ORCID ProfileMohsen Farahpour, View ORCID ProfileSaeed Nasseri, View ORCID ProfileHossein Safarpour, View ORCID ProfileAmirhossein Sahebkar
doi: https://doi.org/10.1101/2021.11.26.470166
Nafiseh Erfanian
1Student Research Committee, Birjand University of Medical Sciences, Birjand, Iran
A. Ali Heydari
2Department of Applied Mathematics, University of California, Merced, CA, USA
3Health Sciences Research Institute, University of California, Merced, CA, USA
Pablo Iañez
4Cellular Systems Genomics Group, Josep Carreras Research Institute, Barcelona, Spain
Afshin Derakhshani
5IRCCS Istituto Tumori “Giovanni Paolo II” of Bari, Bari, Italy
Mohammad Ghasemigol
6Department of Computer Engineering, University of Birjand, Birjand, Iran
Mohsen Farahpour
7Faculty of Electrical Engineering and Computer, University of Birjand, Birjand, Iran
Saeed Nasseri
8Cellular and Molecular Research Center, Birjand University of Medical Sciences, Birjand, Iran
Hossein Safarpour
8Cellular and Molecular Research Center, Birjand University of Medical Sciences, Birjand, Iran
Amirhossein Sahebkar
9Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran
Article usage
Posted November 27, 2021.
Deep learning applications in single-cell omics data analysis
Nafiseh Erfanian, A. Ali Heydari, Pablo Iañez, Afshin Derakhshani, Mohammad Ghasemigol, Mohsen Farahpour, Saeed Nasseri, Hossein Safarpour, Amirhossein Sahebkar
bioRxiv 2021.11.26.470166; doi: https://doi.org/10.1101/2021.11.26.470166
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