University of Twente Student Theses
An Iterative Algorithm for Increasing Accuracy of a CNN-based Selective Sweep Detection Tool
Gurp, S. van (2024) An Iterative Algorithm for Increasing Accuracy of a CNN-based Selective Sweep Detection Tool.
This is the latest version of this item.
|
PDF
3MB |
| Abstract: | Selective sweeps are regions of reduced mutations caused by a favoured mutation in DNA genome sequences. Finding these selective sweeps has been under much research for the past decade. While the tools created from this research have proved to be successful at finding selective sweeps, accurately pinpointing the locations of sweeps remains an open problem in these tools, such as RAiSD. It is the goal of this research paper to continuously decrease the initial fixed window size to narrow the focus of these tools, thereby improving their accuracy. In this research, we used RAiSD-AI to examine a method to fulfil this goal. This method should more accurately predict the locations of the selective sweeps and possibly locate the base pair positions of these sweeps. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 42 biology, 50 technical science in general, 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/100976 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page