Full metadata
Title
Prediction of Binding Affinity of T cell Receptor and Antigens using Deep Neural Networks
Description
Immunotherapy is an effective treatment for cancer which enables the patient's immune system to recognize tumor cells as pathogens. In order to design an individualized treatment, the t cell receptors (TCR) which bind to a tumor's unique antigens need to be determined. We created a convolutional neural network to predict the binding affinity between a given TCR and antigen to enable this.
Date Created
2020-12
Contributors
- Cai, Michael Ray (Author)
- Lee, Heewook (Thesis director)
- Meuth, Ryan (Committee member)
- Computer Science and Engineering Program (Contributor, Contributor)
- Barrett, The Honors College (Contributor)
Topical Subject
Resource Type
Extent
21 pages
Language
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2020-2021
Handle
https://hdl.handle.net/2286/R.I.62469
Level of coding
minimal
Cataloging Standards
System Created
- 2020-11-13 11:24:39
System Modified
- 2021-08-11 04:09:57
- 2 years 3 months ago
Additional Formats