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Madeleine Bonsma-Fisher
Madeleine Bonsma-Fisher
Verified email at utoronto.ca - Homepage
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Cited by
Cited by
Year
How adaptive immunity constrains the composition and fate of large bacterial populations
M Bonsma-Fisher, D Soutiere, S Goyal
Proceedings of the National Academy of Sciences 115 (32), E7462-E7468, 2018
122018
Experimental test of environment-assisted invariance
L Vermeyden, X Ma, J Lavoie, M Bonsma, U Sinha, R Laflamme, ...
Physical Review A 91 (012120), 2015
122015
Experimental violation of three families of Bell's inequalities
L Vermeyden, M Bonsma, C Noel, JM Donohue, E Wolfe, KJ Resch
Physical Review A 87 (3), 032105, 2013
72013
A graduate student-led participatory live-coding quantitative methods course in R: Experiences on initiating, developing, and teaching
LW Johnston, M Bonsma-Fisher, J Ostblom, AR Hasan, JS Santangelo, ...
The Journal of Open Source Education 2 (16), 2019
42019
Dynamics of immune memory and learning in bacterial communities
M Bonsma-Fisher, S Goyal
Elife 12, e81692, 2023
12023
Population Dynamics of CRISPR Adaptive Immunity in Communities of Bacteria and Phages: a Window into Another World
MJ Bonsma-Fisher
University of Toronto (Canada), 2022
2022
Diversity-generating host-disease coevolution with adaptive immunity
M Bonsma-Fisher, S Goyal
APS March Meeting Abstracts 2022, A05. 007, 2022
2022
Quantitative Methods in R for Biology
M Bonsma-Fisher, L Coome, L Johnston, S Mahallati, J Östblom, ...
University of Toronto Coders, 2019
2019
Working with plant phenology data and fitting a nonlinear model using least squares in R
M Bonsma-Fisher, A Hasan
https://qubeshub.org/qubesresources/publications/978, 2018
2018
Working with spreadsheet-style data in Python with pandas and seaborn
M Bonsma-Fisher
https://qubeshub.org/qubesresources/publications/971, 2018
2018
How adaptive immunity constrains the composition and fate of large bacterial populations-supporting information
M Bonsma-Fisher, D Soutiere, S Goyal
Faculty notes-Working with plant phenology data and fitting a nonlinear model using least squares in R
M Bonsma-Fisher, A Hasan
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