Machine learning in Single-molecule Science
Lead Research Organisation:
University of Birmingham
Department Name: School of Chemistry
Abstract
Key objectives:
- Utilise an Electrochemical Scanning-Tunnelling Microscope to detect nucleotide single molecules via Current-Time Spectroscopy
- Utilise machine-learning algorithms to classify each molecule into its respective class based on Current-Time data
The results of the above will determine whether the use of electrical current sensing techniques could be used for developing a new technique of DNA sequencing.
- Utilise an Electrochemical Scanning-Tunnelling Microscope to detect nucleotide single molecules via Current-Time Spectroscopy
- Utilise machine-learning algorithms to classify each molecule into its respective class based on Current-Time data
The results of the above will determine whether the use of electrical current sensing techniques could be used for developing a new technique of DNA sequencing.
Organisations
People |
ORCID iD |
| Christopher Weaver (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/N509590/1 | 30/09/2016 | 29/09/2021 | |||
| 2271930 | Studentship | EP/N509590/1 | 30/09/2019 | 29/09/2022 | Christopher Weaver |
| EP/R513167/1 | 30/09/2018 | 29/09/2023 | |||
| 2271930 | Studentship | EP/R513167/1 | 30/09/2019 | 29/09/2022 | Christopher Weaver |