Machine learning and penalized regression models for high dimensional data analysis on multi omics blood-based biomarkers for Alzheimer’s disease / Mohammad Nasir Abdullah

Alzheimer's disease (AD) is a neurodegenerative disorder that can be characterised by the gradual progression of memory loss, impairment of cognitive function, and progressive disability. Currently, there are no treatments available for AD. Detection of biomarkers would assist in early predicti...

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Main Author:	Abdullah, Mohammad Nasir
Format:	Thesis
Language:	English
Published:	2022
Subjects:	Alzheimer's disease
Online Access:	https://ir.uitm.edu.my/id/eprint/75599/1/75599.pdf
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id	my-uitm-ir.75599
record_format	uketd_dc
spelling	my-uitm-ir.755992023-05-26T03:31:16Z Machine learning and penalized regression models for high dimensional data analysis on multi omics blood-based biomarkers for Alzheimer’s disease / Mohammad Nasir Abdullah 2022 Abdullah, Mohammad Nasir Alzheimer's disease Alzheimer's disease (AD) is a neurodegenerative disorder that can be characterised by the gradual progression of memory loss, impairment of cognitive function, and progressive disability. Currently, there are no treatments available for AD. Detection of biomarkers would assist in early prediction of AD. Prevalent technologies of high throughput in genomics have opened a new horizon to achieve this purpose. Transcriptomics, metabolomics, and cytokinomics data are among the multi-omics data used in modern genomics studies. Multi-omics data is high dimensional data where the number of dimensions is larger than the number of sample observations. Additionally, due to the large number of features, there are issues of multicollinearity and complete separation. Therefore, questions have been raised about how to analyse multi-omics high dimensional data and what the best classifiers for the classification of AD are. 2022 Thesis https://ir.uitm.edu.my/id/eprint/75599/ https://ir.uitm.edu.my/id/eprint/75599/1/75599.pdf text en public phd doctoral Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Yap, Bee Wah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Yap, Bee Wah
topic	Alzheimer's disease
spellingShingle	Alzheimer's disease Abdullah, Mohammad Nasir Machine learning and penalized regression models for high dimensional data analysis on multi omics blood-based biomarkers for Alzheimer’s disease / Mohammad Nasir Abdullah
description	Alzheimer's disease (AD) is a neurodegenerative disorder that can be characterised by the gradual progression of memory loss, impairment of cognitive function, and progressive disability. Currently, there are no treatments available for AD. Detection of biomarkers would assist in early prediction of AD. Prevalent technologies of high throughput in genomics have opened a new horizon to achieve this purpose. Transcriptomics, metabolomics, and cytokinomics data are among the multi-omics data used in modern genomics studies. Multi-omics data is high dimensional data where the number of dimensions is larger than the number of sample observations. Additionally, due to the large number of features, there are issues of multicollinearity and complete separation. Therefore, questions have been raised about how to analyse multi-omics high dimensional data and what the best classifiers for the classification of AD are.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Abdullah, Mohammad Nasir
author_facet	Abdullah, Mohammad Nasir
author_sort	Abdullah, Mohammad Nasir
title	Machine learning and penalized regression models for high dimensional data analysis on multi omics blood-based biomarkers for Alzheimer’s disease / Mohammad Nasir Abdullah
title_short	Machine learning and penalized regression models for high dimensional data analysis on multi omics blood-based biomarkers for Alzheimer’s disease / Mohammad Nasir Abdullah
title_full	Machine learning and penalized regression models for high dimensional data analysis on multi omics blood-based biomarkers for Alzheimer’s disease / Mohammad Nasir Abdullah
title_fullStr	Machine learning and penalized regression models for high dimensional data analysis on multi omics blood-based biomarkers for Alzheimer’s disease / Mohammad Nasir Abdullah
title_full_unstemmed	Machine learning and penalized regression models for high dimensional data analysis on multi omics blood-based biomarkers for Alzheimer’s disease / Mohammad Nasir Abdullah
title_sort	machine learning and penalized regression models for high dimensional data analysis on multi omics blood-based biomarkers for alzheimer’s disease / mohammad nasir abdullah
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2022
url	https://ir.uitm.edu.my/id/eprint/75599/1/75599.pdf
_version_	1783736068026138624

Machine learning and penalized regression models for high dimensional data analysis on multi omics blood-based biomarkers for Alzheimer’s disease / Mohammad Nasir Abdullah

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