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MOJITOO: a fast and universal method for integration of multimodal single cell data

View ORCID ProfileMingbo Cheng, View ORCID ProfileZhijian Li, View ORCID ProfileIvan G. Costa
doi: https://doi.org/10.1101/2022.01.19.476907
Mingbo Cheng
1Institute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University Medical School, 52074 Aachen, Germany
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  • ORCID record for Mingbo Cheng
Zhijian Li
1Institute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University Medical School, 52074 Aachen, Germany
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Ivan G. Costa
1Institute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University Medical School, 52074 Aachen, Germany
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  • For correspondence: ivan.costa@rwth-aachen.de
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Article Information

doi 
https://doi.org/10.1101/2022.01.19.476907
History 
  • January 21, 2022.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Mingbo Cheng1,
  2. Zhijian Li1 and
  3. Ivan G. Costa1,*
  1. 1Institute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University Medical School, 52074 Aachen, Germany
  1. ↵*ivan.costa{at}rwth-aachen.de
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Posted January 21, 2022.
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MOJITOO: a fast and universal method for integration of multimodal single cell data
Mingbo Cheng, Zhijian Li, Ivan G. Costa
bioRxiv 2022.01.19.476907; doi: https://doi.org/10.1101/2022.01.19.476907
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MOJITOO: a fast and universal method for integration of multimodal single cell data
Mingbo Cheng, Zhijian Li, Ivan G. Costa
bioRxiv 2022.01.19.476907; doi: https://doi.org/10.1101/2022.01.19.476907

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