karatsang/rulesbased_logisticregression
Tsang, KK
(2020).
karatsang/rulesbased_logisticregression.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.3988479
Conda environments, code and intermediate data files for: "Identifying novel β-lactamase substrate activity through in silico prediction of antimicrobial resistance".
Keywords
Antimicrobial resistance, Bioinformatics, Genotype–phenotype, PredictionItem Type | Dataset |
---|---|
Capture method | Unknown |
Collection Period |
From To 2015 2018 |
Date | 17 August 2020 |
Language(s) of written materials | English |
Creator(s) |
Tsang, KK |
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 |
Project Funder Grant Number Funder URI Cisco Research Chair in Bioinformatics UNSPECIFIED http://dx.doi.org/10.13039/100015574 MacDATA Institute Graduate Fellowship UNSPECIFIED http://dx.doi.org/10.13039/100009776 Michael Kamin Hart Memorial Scholarship UNSPECIFIED http://dx.doi.org/10.13039/100015575 |
Date Deposited | 01 Dec 2023 09:54 |
Last Modified | 01 Dec 2023 09:54 |
Publisher | Zenodo |
Explore Further
- Canadian Institutes of Health Research
- Canadian Institutes of Health Research
- Ontario Research Fund
- Genome Canada
- Canada Research Chairs
- Cisco Systems Canada
- McMaster University
- McMaster University
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University
- Donald Hill Family
- Canadian Foundation for Innovation
ORCID: https://orcid.org/0000-0001-7742-8855