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Functional data analysis techniques to improve the generalizability of near-infrared spectral data for monitoring mosquito populations
View ORCID ProfilePedro M. Esperança, Dari F. Da, Ben Lambert, Roch K. Dabiré, View ORCID ProfileThomas S. Churcher
doi: https://doi.org/10.1101/2020.04.28.058495
Pedro M. Esperança
1MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, London W21PG, UK
Dari F. Da
2Institut de Recherche en Sciences de la Santé, Direction Régionale, 399 Avenue de la liberté, Bobo Dioulasso, 01 01 BP 545, Burkina Faso
Ben Lambert
1MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, London W21PG, UK
Roch K. Dabiré
2Institut de Recherche en Sciences de la Santé, Direction Régionale, 399 Avenue de la liberté, Bobo Dioulasso, 01 01 BP 545, Burkina Faso
Thomas S. Churcher
1MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, London W21PG, UK

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Posted April 29, 2020.
Functional data analysis techniques to improve the generalizability of near-infrared spectral data for monitoring mosquito populations
Pedro M. Esperança, Dari F. Da, Ben Lambert, Roch K. Dabiré, Thomas S. Churcher
bioRxiv 2020.04.28.058495; doi: https://doi.org/10.1101/2020.04.28.058495
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