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Austin G Meyer

Showing results (1-10 of 29) with videos related to

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Journal of the Royal Society, Interface|June 16, 2026
Explainable machine learning reveals evolutionary signals in influenza haemagglutininAustin G Meyer
Plos Pathogens|May 29, 2015
Geometric Constraints Dominate the Antigenic Evolution of Influenza H3N2 HemagglutininAustin G Meyer, Claus O Wilke
Journal of the Royal Society, Interface|October 16, 2015
The utility of protein structure as a predictor of site-wise dN/dS varies widely among HIV-1 proteinsAustin G Meyer, Claus O Wilke
Molecular Biology and Evolution|September 15, 2012
Integrating sequence variation and protein structure to identify sites under selectionAustin G Meyer, Claus O Wilke
Artificial Life 13 : Proceedings of the Thirteenth International Conference on the Simulation and Synthesis of Living Systems. International Conference on the Simulation and Synthesis of Living Systems (13Th : 2012 : East Lansing, Mich.)|September 21, 2022
Computational tests of a thermal cycling strategy to isolate more complex functional nucleic acid motifs from random sequence pools by in vitro selectionAaron Reba, Austin G Meyer, Jeffrey E Barrick
Epidemics|February 22, 2025
A prospective real-time transfer learning approach to estimate influenza hospitalizations with limited dataAustin G Meyer, Fred Lu, Leonardo Clemente, et al.
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|February 6, 2013
Cross-species comparison of site-specific evolutionary-rate variation in influenza haemagglutininAustin G Meyer, Eric T Dawson, Claus O Wilke
Virus Evolution|October 8, 2016
Sequence amplification via cell passaging creates spurious signals of positive adaptation in influenza virus H3N2 hemagglutininClaire D McWhite, Austin G Meyer, Claus O Wilke
BMC Evolutionary Biology|September 13, 2012
Modeling coding-sequence evolution within the context of residue solvent accessibilityMichael P Scherrer, Austin G Meyer, Claus O Wilke
Hospital Pediatrics|April 9, 2026
An Introduction to Machine Learning for the Pediatric HospitalistAustin G Meyer, Stephanie Blasick, Shihao Yang, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Journal of the Royal Society, Interface|June 16, 2026
Explainable machine learning reveals evolutionary signals in influenza haemagglutininAustin G Meyer
Plos Pathogens|May 29, 2015
Geometric Constraints Dominate the Antigenic Evolution of Influenza H3N2 HemagglutininAustin G Meyer, Claus O Wilke
Journal of the Royal Society, Interface|October 16, 2015
The utility of protein structure as a predictor of site-wise dN/dS varies widely among HIV-1 proteinsAustin G Meyer, Claus O Wilke
Molecular Biology and Evolution|September 15, 2012
Integrating sequence variation and protein structure to identify sites under selectionAustin G Meyer, Claus O Wilke
Artificial Life 13 : Proceedings of the Thirteenth International Conference on the Simulation and Synthesis of Living Systems. International Conference on the Simulation and Synthesis of Living Systems (13Th : 2012 : East Lansing, Mich.)|September 21, 2022
Computational tests of a thermal cycling strategy to isolate more complex functional nucleic acid motifs from random sequence pools by in vitro selectionAaron Reba, Austin G Meyer, Jeffrey E Barrick
Epidemics|February 22, 2025
A prospective real-time transfer learning approach to estimate influenza hospitalizations with limited dataAustin G Meyer, Fred Lu, Leonardo Clemente, et al.
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|February 6, 2013
Cross-species comparison of site-specific evolutionary-rate variation in influenza haemagglutininAustin G Meyer, Eric T Dawson, Claus O Wilke
Virus Evolution|October 8, 2016
Sequence amplification via cell passaging creates spurious signals of positive adaptation in influenza virus H3N2 hemagglutininClaire D McWhite, Austin G Meyer, Claus O Wilke
BMC Evolutionary Biology|September 13, 2012
Modeling coding-sequence evolution within the context of residue solvent accessibilityMichael P Scherrer, Austin G Meyer, Claus O Wilke
Hospital Pediatrics|April 9, 2026
An Introduction to Machine Learning for the Pediatric HospitalistAustin G Meyer, Stephanie Blasick, Shihao Yang, et al.
Pageof 3