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Predicting Optimal Growth Temperature of Bacteria: A Comparative Study of Machine Learning Models Using Genomic and Proteomic Data
Author(s)
Hu, Zhognbin
Type
Dissertation
Version
Imperial Users only
Date Issued
2024
Date Awarded
2024
URI
Creator
Hu, Zhognbin
Publisher Department
Department of Life Sciences
Publisher Institution
Imperial College London
Qualification Level
Masters
Qualification Name
MSc
Course Name
Computational Methods in Ecology and Evolution