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Improved inference and prediction of bacterial genotype-phenotype associations using pangenome-spanning regressions
View ORCID ProfileJohn A. Lees, T. Tien Mai, View ORCID ProfileMarco Galardini, View ORCID ProfileNicole E. Wheeler, View ORCID ProfileJukka Corander
doi: https://doi.org/10.1101/852426
John A. Lees
1MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London W2 1PG, United Kingdom
T. Tien Mai
2Oslo Centre for Biostatistics and Epidemiology, Department of Biostatistics, University of Oslo, 0372 Oslo, Norway
Marco Galardini
3Biological Design Center, Boston University, Boston, MA 02215, USA
Nicole E. Wheeler
4Centre for Genomic Pathogen Surveillance, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, United Kingdom
Jukka Corander
2Oslo Centre for Biostatistics and Epidemiology, Department of Biostatistics, University of Oslo, 0372 Oslo, Norway
4Centre for Genomic Pathogen Surveillance, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, United Kingdom
5Helsinki Institute of Information Technology, Department of Mathematics and Statistics, University of Helsinki, 00014 Helsinki, Finland
Posted November 23, 2019.
Improved inference and prediction of bacterial genotype-phenotype associations using pangenome-spanning regressions
John A. Lees, T. Tien Mai, Marco Galardini, Nicole E. Wheeler, Jukka Corander
bioRxiv 852426; doi: https://doi.org/10.1101/852426
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