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Inferring microbial co-occurrence networks from amplicon data: a systematic evaluation
Dileep Kishore, Gabriel Birzu, Zhenjun Hu, Charles DeLisi, Kirill S. Korolev, View ORCID ProfileDaniel Segrè
doi: https://doi.org/10.1101/2020.09.23.309781
Dileep Kishore
1Bioinformatics Program, Boston University, Boston, Massachusetts, USA
2Biological Design Center, Boston University, Boston, Massachusetts, USA
Gabriel Birzu
3Department of Physics, Boston University, Boston, Massachusetts, USA
6Department of Applied Physics, Stanford University, Stanford, California, USA
Zhenjun Hu
1Bioinformatics Program, Boston University, Boston, Massachusetts, USA
Charles DeLisi
1Bioinformatics Program, Boston University, Boston, Massachusetts, USA
3Department of Physics, Boston University, Boston, Massachusetts, USA
Kirill S. Korolev
1Bioinformatics Program, Boston University, Boston, Massachusetts, USA
2Biological Design Center, Boston University, Boston, Massachusetts, USA
3Department of Physics, Boston University, Boston, Massachusetts, USA
Daniel Segrè
1Bioinformatics Program, Boston University, Boston, Massachusetts, USA
2Biological Design Center, Boston University, Boston, Massachusetts, USA
4Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA
5Department of Biology, Boston University, Boston, Massachusetts, USA
Posted October 22, 2020.
Inferring microbial co-occurrence networks from amplicon data: a systematic evaluation
Dileep Kishore, Gabriel Birzu, Zhenjun Hu, Charles DeLisi, Kirill S. Korolev, Daniel Segrè
bioRxiv 2020.09.23.309781; doi: https://doi.org/10.1101/2020.09.23.309781
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