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FastSpar: Rapid and scalable correlation estimation for compositional data
Stephen C. Watts, Scott C. Ritchie, Michael Inouye, Kathryn E. Holt
doi: https://doi.org/10.1101/272583
Stephen C. Watts
1Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville 3010, Victoria, Australia
Scott C. Ritchie
2Systems Genomics Lab, Baker Heart & Diabetes Institute, Melbourne, Australia
3Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom
4Department of Clinical Pathology and School of BioSciences, The University of Melbourne, Parkville, VIC 3010, Australia
Michael Inouye
2Systems Genomics Lab, Baker Heart & Diabetes Institute, Melbourne, Australia
3Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom
4Department of Clinical Pathology and School of BioSciences, The University of Melbourne, Parkville, VIC 3010, Australia
Kathryn E. Holt
1Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville 3010, Victoria, Australia
Article usage
Posted March 23, 2018.
FastSpar: Rapid and scalable correlation estimation for compositional data
Stephen C. Watts, Scott C. Ritchie, Michael Inouye, Kathryn E. Holt
bioRxiv 272583; doi: https://doi.org/10.1101/272583
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