Machine learning applications on biological data
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...
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| Format: | Thesis-Master by Research |
| Language: | English |
| Published: |
Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/159232 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
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