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Paul-Michael Agapow
Researcher at Imperial College London
Publications - 29
Citations - 3877
Paul-Michael Agapow is an academic researcher from Imperial College London. The author has contributed to research in topics: Medicine & Gene. The author has an hindex of 15, co-authored 24 publications receiving 3186 citations. Previous affiliations of Paul-Michael Agapow include University of Reading & University of Queensland.
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Journal ArticleDOI
Opportunities and obstacles for deep learning in biology and medicine.
Travers Ching,Daniel Himmelstein,Brett K. Beaulieu-Jones,Alexandr A. Kalinin,Brian T. Do,Gregory P. Way,Enrico Ferrero,Paul-Michael Agapow,Michael Zietz,Michael M. Hoffman,Michael M. Hoffman,Wei Xie,Gail L. Rosen,Benjamin J. Lengerich,Johnny Israeli,Jack Lanchantin,Stephen Woloszynek,Anne E. Carpenter,Avanti Shrikumar,Jinbo Xu,Evan M. Cofer,Evan M. Cofer,Christopher A. Lavender,Srinivas C. Turaga,Amr Alexandari,Zhiyong Lu,David J. Harris,Dave DeCaprio,Yanjun Qi,Anshul Kundaje,Yifan Peng,Laura K. Wiley,Marwin H. S. Segler,Simina M. Boca,S. Joshua Swamidass,Austin Huang,Anthony Gitter,Anthony Gitter,Casey S. Greene +38 more
TL;DR: It is found that deep learning has yet to revolutionize biomedicine or definitively resolve any of the most pressing challenges in the field, but promising advances have been made on the prior state of the art.
Journal ArticleDOI
Indices of multilocus linkage disequilibrium
Paul-Michael Agapow,Austin Burt +1 more
TL;DR: This paper presents a modification of IA that removes this dependency on sample size and has been implemented in a software package.
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Nonrandom Extinction and the Loss of Evolutionary History
TL;DR: It is estimated that the prospective extra loss of mammalian evolutionary history alone would be equivalent to losing a monotypic phylum, and the potentially severe implications of the clumped nature of threat for the loss of biodiversity are shown.
Journal ArticleDOI
Power of Eight Tree Shape Statistics to Detect Nonrandom Diversification: A Comparison by Simulation of Two Models of Cladogenesis
Paul-Michael Agapow,Andy Purvis +1 more
TL;DR: These simulations are the first to assess performance under scenarios in which the speciation rates of various lineages can evolve independently, and indicate that the relative performance of the methods depends upon how the imbalance is generated.
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Evolutionary dynamics of local pandemic H1N1/2009 influenza virus lineages revealed by whole-genome analysis
Gregory J. Baillie,Monica Galiano,Paul-Michael Agapow,Richard M. Myers,Rachael Chiam,Astrid Gall,Anne L. Palser,Simon J. Watson,Jessica Hedge,Anthony Underwood,Steven Platt,Estelle McLean,Richard Pebody,Andrew Rambaut,Jonathan Green,Rod S. Daniels,Oliver G. Pybus,Paul Kellam,Maria Zambon +18 more
TL;DR: This work sequenced 153 pandemic influenza H1N1/09 virus genomes from United Kingdom isolates from the first and second waves of the 2009 pandemic and used their sequences, dates of isolation, and geographical locations to infer the genetic epidemiology of the epidemic in the United Kingdom.