Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/122842
DC Field | Value | |
---|---|---|
dc.title | DEVELOPMENT AND INVESTIGATION OF CHEMOMETRIC BASELINE CORRECTION APPROACHES AND METABONOMIC CLASSIFICATION ALGORITHMS | |
dc.contributor.author | BHASKARAN DAVID PRAKASH | |
dc.date.accessioned | 2016-03-31T18:00:42Z | |
dc.date.available | 2016-03-31T18:00:42Z | |
dc.date.issued | 2015-07-31 | |
dc.identifier.citation | BHASKARAN DAVID PRAKASH (2015-07-31). DEVELOPMENT AND INVESTIGATION OF CHEMOMETRIC BASELINE CORRECTION APPROACHES AND METABONOMIC CLASSIFICATION ALGORITHMS. ScholarBank@NUS Repository. | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/122842 | |
dc.description.abstract | Metabonomic analysis has been used for classification in a diverse range of areas from toxicology and dietary effects through to parasitology and molecular epidemiology, including disease diagnosis and therapy monitoring. Metabonomic data requires correction via pre-processing approaches followed by post-processing involving a robust modelling approach to provide accurate and fast classification. In this work, we developed novel algorithms for both phases. For pre-processing, we developed a baseline correction algorithm, Automated Iterative Moving Averaging (AIMA) , which has similar accuracy as existing semi-automated algorithms but is fully automated and computationally more efficient (28.6 to 197.7 times faster). For post-processing, we developed a fully automated classification algorithm, Automated Pearson?s correlation change classification (APC3) , which has similar or better prediction accuracy as the current state of art algorithms for metabonomic data but is 3.9 to 7 times faster. Finally, we did a comparative study on four sparsity embedded classification techniques. | |
dc.language.iso | en | |
dc.subject | Metabonomics, chemometric, baseline-correction, classification, algorithms, data-mining | |
dc.type | Thesis | |
dc.contributor.department | PHARMACY | |
dc.contributor.supervisor | GO MEI LIN | |
dc.description.degree | Ph.D | |
dc.description.degreeconferred | DOCTOR OF PHILOSOPHY | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Ph.D Theses (Open) |
Show simple item record
Files in This Item:
File | Description | Size | Format | Access Settings | Version | |
---|---|---|---|---|---|---|
BDavidPrakash.pdf | 1.62 MB | Adobe PDF | OPEN | None | View/Download |
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.