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A Machine Learning Approach based on Structural Energies to Predict the Functional Consequence of Missense Variants
巫 子軒
Student thesis
:
Doctoral Thesis
Abstract
none
Date of Award
2020
Original language
English
Supervisor
Sun-Yuan Hsieh
(Supervisor)
Cite this
Standard
A Machine Learning Approach based on Structural Energies to Predict the Functional Consequence of Missense Variants
子軒, 巫. (Author).
2020
Student thesis
:
Doctoral Thesis