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Zan Armstrong

Showing results (1-10 of 9) with videos related to

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Scientific American|June 21, 2017
The Baby SpikeMark Fischetti, Zan Armstrong
IEEE Transactions on Visualization and Computer Graphics|September 11, 2015
Visualizing Statistical Mix Effects and Simpson's ParadoxZan Armstrong, Martin Wattenberg
ACS Infectious Diseases|December 23, 2021
Morphological Characterization of Antibiotic CombinationsMarc A Coram, Lisha Wang, William J Godinez, et al.
Science Advances|September 26, 2020
A machine learning approach to define antimalarial drug action from heterogeneous cell-based screensGeorge W Ashdown, Michelle Dimon, Minjie Fan, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 11, 2021
Discovery of complex oxides via automated experiments and data scienceLusann Yang, Joel A Haber, Zan Armstrong, et al.
Nature Communications|April 23, 2021
Machine learning guided aptamer refinement and discoveryAli Bashir, Qin Yang, Jinpeng Wang, et al.
SLAS Discovery : Advancing Life Sciences R & D|July 10, 2019
Applying Deep Neural Network Analysis to High-Content Image-Based AssaysSamuel J Yang, Scott L Lipnick, Nina R Makhortova, et al.
Nature Communications|May 26, 2021
Impacts of social distancing policies on mobility and COVID-19 case growth in the USGregory A Wellenius, Swapnil Vispute, Valeria Espinosa, et al.
Nature Communications|March 26, 2022
Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblastsLauren Schiff, Bianca Migliori, Ye Chen, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Scientific American|June 21, 2017
The Baby SpikeMark Fischetti, Zan Armstrong
IEEE Transactions on Visualization and Computer Graphics|September 11, 2015
Visualizing Statistical Mix Effects and Simpson's ParadoxZan Armstrong, Martin Wattenberg
ACS Infectious Diseases|December 23, 2021
Morphological Characterization of Antibiotic CombinationsMarc A Coram, Lisha Wang, William J Godinez, et al.
Science Advances|September 26, 2020
A machine learning approach to define antimalarial drug action from heterogeneous cell-based screensGeorge W Ashdown, Michelle Dimon, Minjie Fan, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 11, 2021
Discovery of complex oxides via automated experiments and data scienceLusann Yang, Joel A Haber, Zan Armstrong, et al.
Nature Communications|April 23, 2021
Machine learning guided aptamer refinement and discoveryAli Bashir, Qin Yang, Jinpeng Wang, et al.
SLAS Discovery : Advancing Life Sciences R & D|July 10, 2019
Applying Deep Neural Network Analysis to High-Content Image-Based AssaysSamuel J Yang, Scott L Lipnick, Nina R Makhortova, et al.
Nature Communications|May 26, 2021
Impacts of social distancing policies on mobility and COVID-19 case growth in the USGregory A Wellenius, Swapnil Vispute, Valeria Espinosa, et al.
Nature Communications|March 26, 2022
Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblastsLauren Schiff, Bianca Migliori, Ye Chen, et al.
Pageof 1