A linear, binary classifier to predict bacterial biofilm formation on polyacrylates
Description
Research data and Python code to undertake machine learning to predict bacterial attachment to polyacrylates.
External URI
Subjects
- Biofilms
- Attachment mechanisms (Biology)
- Polymers
- ToF-SIMS; Python code; machine learning; bacterial attachment
- Biological Sciences::Microbiology::Applied microbiology
- Q Science::QR Microbiology::QR100 Microbial ecology
Divisions
- University of Nottingham, UK Campus::Faculty of Science::School of Pharmacy
Deposit date
2022-12-21Data type
Python source code, Microsoft Excel datafileContributors
- Alexander, Morgan R
- Laughton, Charles
- Hook, Andrew L
- Figueredo, Grazziela P.
- Williams, Paul
Funders
- Engineering & Physical Sciences Research Council
Grant number
- EP/N006615/1
Data collection method
ToF-SIMsResource languages
- en