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MOSCATO: A Supervised Approach for Analyzing Multi-Omic Single-Cell Data

Lorin M Towle-Miller, Jeffrey C Miecznikowski
doi: https://doi.org/10.1101/2021.09.02.458781
Lorin M Towle-Miller
aUniversity at Buffalo
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  • For correspondence: lorinmil@buffalo.edu
Jeffrey C Miecznikowski
aUniversity at Buffalo
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Article Information

doi 
https://doi.org/10.1101/2021.09.02.458781
History 
  • September 4, 2021.
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. Lorin M Towle-Millera,* and
  2. Jeffrey C Miecznikowskia
  1. aUniversity at Buffalo
  1. ↵* Corresponding author; email: lorinmil{at}buffalo.edu
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Posted September 04, 2021.
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MOSCATO: A Supervised Approach for Analyzing Multi-Omic Single-Cell Data
Lorin M Towle-Miller, Jeffrey C Miecznikowski
bioRxiv 2021.09.02.458781; doi: https://doi.org/10.1101/2021.09.02.458781
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MOSCATO: A Supervised Approach for Analyzing Multi-Omic Single-Cell Data
Lorin M Towle-Miller, Jeffrey C Miecznikowski
bioRxiv 2021.09.02.458781; doi: https://doi.org/10.1101/2021.09.02.458781

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