Tsang, KK. 2020. karatsang/rulesbased_logisticregression. [Online]. Zenodo. Available from: https://doi.org/10.5281/zenodo.3988479
Tsang, KK. karatsang/rulesbased_logisticregression [Internet]. Zenodo; 2020. Available from: https://doi.org/10.5281/zenodo.3988479
Tsang, KK (2020). karatsang/rulesbased_logisticregression. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3988479
Description
Conda environments, code and intermediate data files for: "Identifying novel β-lactamase substrate activity through in silico prediction of antimicrobial resistance".
Data capture method | Unknown | ||||
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Data Collection Period |
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Date (Date published in a 3rd party system) | 17 August 2020 | ||||
Language(s) of written materials | English |
Data Creators | Tsang, KK |
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LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases > Department of Infection Biology |
Participating Institutions | McMaster University, Hamilton, Ontario, Canada, Dalhousie University, Halifax, Nova Scotia, Canada |
Funders |
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Date Deposited | 01 Dec 2023 09:54 |
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Last Modified | 01 Dec 2023 09:54 |
Publisher | Zenodo |