Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/159232
Title: Machine learning applications on biological data
Authors: Xu, Ying
Keywords: Engineering::Computer science and engineering
Engineering::Bioengineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Xu, Y. (2022). Machine learning applications on biological data. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/159232
Abstract: Machine learning has been used frequently for biological studies with applications of prediction, discovery and classification. With the flux of multiple types of largescale data, the development of machine learning methods, especially the application of deep learning approaches, has become more promising. This thesis studies machine learning applications on ageing research as a stochastic model. We review the exploration of relationships between certain types of DNA repair and ageing, the function of age-related proteins in molecular pathways and relationships between ageing and apoptosis. The research shows how machine learning algorithms can be further improved coupled with state-of-the-art molecular analysis technologies. Furthermore, we build a deep neural network for plant video classification for a typical application of pesticide spraying drone. Plants can act differently under different growth stage, soil fertility, availability of water, climate, diseases or pests. Video classification of plants according to the waving feature is important for the pilotless aerial vehicles to spray pesticides selectively and improve automation of precision agriculture.
URI: https://hdl.handle.net/10356/159232
Schools: School of Computer Science and Engineering 
Rights: This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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