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.
Details
Title
- Prediction of Binding Affinity of T cell Receptor and Antigens using Deep Neural Networks
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)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2020-12
Resource Type
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