ProteoKnight: phage virion protein classification with CNN and uncertainty quantification

ProteoKnight: phage virion protein classification with CNN and uncertainty quantification

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Bibliografiska uppgifter
Huvudupphovsmän: Bhuiyan, Abir Ahammed, Neha, Samiha Afaf, Khan, Md. Ishrak
Övriga upphovsmän: Rhaman, Md. Khalilur
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2024
Ämnen:
Phage virion
Deep learning
DNA-walk
Monte Carlo dropout
Convolutional neural network (CNN)
Neural networks (Computer science)
Deep learning (Machine learning)
Länkar:http://hdl.handle.net/10361/22830

Internet

http://hdl.handle.net/10361/22830

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