Classification and feature selection for biomedical and biological data using soft computing
159 p.
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Format: | Thesis |
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2011
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Online dostop: | https://hdl.handle.net/10356/46861 |
_version_ | 1826119101375840256 |
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author | Zhou, Nina |
author2 | Wang Lipo |
author_facet | Wang Lipo Zhou, Nina |
author_sort | Zhou, Nina |
collection | NTU |
description | 159 p. |
first_indexed | 2024-10-01T04:54:33Z |
format | Thesis |
id | ntu-10356/46861 |
institution | Nanyang Technological University |
last_indexed | 2024-10-01T04:54:33Z |
publishDate | 2011 |
record_format | dspace |
spelling | ntu-10356/468612023-07-04T16:16:50Z Classification and feature selection for biomedical and biological data using soft computing Zhou, Nina Wang Lipo School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems 159 p. This dissertation mainly discusses feature selection and classification problems in the context of bio-medical data. Feature selection and classification are two important tasks in processing bio-medical data. For example, in disease diagnosis, finding the sub-groups of genes or symptoms that are specific to a particular disease is a feature selection problem. Once these sub-groups of genes or symptoms are found, diagnosing the disease which is a classification problem, will become easy. However, because most of the bio-medical data has large numbers of features, feature selection and classification are hence particularly challenging. DOCTOR OF PHILOSOPHY (EEE) 2011-12-23T10:01:57Z 2011-12-23T10:01:57Z 2009 2009 Thesis Zhou, N. (2009). Classification and feature selection for biomedical and biological data using soft computing. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/46861 10.32657/10356/46861 Nanyang Technological University application/pdf |
spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Zhou, Nina Classification and feature selection for biomedical and biological data using soft computing |
title | Classification and feature selection for biomedical and biological data using soft computing |
title_full | Classification and feature selection for biomedical and biological data using soft computing |
title_fullStr | Classification and feature selection for biomedical and biological data using soft computing |
title_full_unstemmed | Classification and feature selection for biomedical and biological data using soft computing |
title_short | Classification and feature selection for biomedical and biological data using soft computing |
title_sort | classification and feature selection for biomedical and biological data using soft computing |
topic | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems |
url | https://hdl.handle.net/10356/46861 |
work_keys_str_mv | AT zhounina classificationandfeatureselectionforbiomedicalandbiologicaldatausingsoftcomputing |