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Systematic tissue annotations of –omics samples by modeling unstructured metadata
View ORCID ProfileNathaniel T. Hawkins, Marc Maldaver, View ORCID ProfileAnna Yannakopoulos, Lindsay A. Guare, View ORCID ProfileArjun Krishnan
doi: https://doi.org/10.1101/2021.05.10.443525
Nathaniel T. Hawkins
1Dept. of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI, United States
Marc Maldaver
1Dept. of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI, United States
Anna Yannakopoulos
1Dept. of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI, United States
Lindsay A. Guare
1Dept. of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI, United States
2Dept. of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, United States
3Dept. of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI, United States
Arjun Krishnan
1Dept. of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI, United States
2Dept. of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, United States
Posted May 20, 2021.
Systematic tissue annotations of –omics samples by modeling unstructured metadata
Nathaniel T. Hawkins, Marc Maldaver, Anna Yannakopoulos, Lindsay A. Guare, Arjun Krishnan
bioRxiv 2021.05.10.443525; doi: https://doi.org/10.1101/2021.05.10.443525
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