Application of feature selection algorithms in gene expression data analysis
Although there are several causes of cancer, scientists have made a major breakthrough in discovering a number of candidate genes that associated with certain cancers. These genes, recognized as biomarkers, can contribute in early cancer diagnosis and prognosis and hence raise the possibility of...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2010
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| Online Access: | http://hdl.handle.net/10356/38899 |
| _version_ | 1824455224660590592 |
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| author | Wang, Ruiping. |
| author2 | Mao Kezhi |
| author_facet | Mao Kezhi Wang, Ruiping. |
| author_sort | Wang, Ruiping. |
| collection | NTU |
| description | Although there are several causes of cancer, scientists have made a major breakthrough in
discovering a number of candidate genes that associated with certain cancers. These genes,
recognized as biomarkers, can contribute in early cancer diagnosis and prognosis and hence
raise the possibility of curative surgery. The recent DNA microarray technology has made it
possible for scientists and researchers to get a view of thousands of genes simultaneously.
However, microarray data usually contains a huge number of genes (features) and a relatively small number of samples, which makes cancer prediction or classification based on microarray
data more challenging. In this report, we consider the problem of applying feature selection techniques to select a small subset of informative biomarkers from DNA microarray data. |
| first_indexed | 2025-02-19T03:34:49Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/38899 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:34:49Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | ntu-10356/388992023-07-07T16:37:07Z Application of feature selection algorithms in gene expression data analysis Wang, Ruiping. Mao Kezhi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Electrical and electronic engineering Although there are several causes of cancer, scientists have made a major breakthrough in discovering a number of candidate genes that associated with certain cancers. These genes, recognized as biomarkers, can contribute in early cancer diagnosis and prognosis and hence raise the possibility of curative surgery. The recent DNA microarray technology has made it possible for scientists and researchers to get a view of thousands of genes simultaneously. However, microarray data usually contains a huge number of genes (features) and a relatively small number of samples, which makes cancer prediction or classification based on microarray data more challenging. In this report, we consider the problem of applying feature selection techniques to select a small subset of informative biomarkers from DNA microarray data. Bachelor of Engineering 2010-05-20T06:19:00Z 2010-05-20T06:19:00Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/38899 en Nanyang Technological University 74 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Electrical and electronic engineering Wang, Ruiping. Application of feature selection algorithms in gene expression data analysis |
| title | Application of feature selection algorithms in gene expression data analysis |
| title_full | Application of feature selection algorithms in gene expression data analysis |
| title_fullStr | Application of feature selection algorithms in gene expression data analysis |
| title_full_unstemmed | Application of feature selection algorithms in gene expression data analysis |
| title_short | Application of feature selection algorithms in gene expression data analysis |
| title_sort | application of feature selection algorithms in gene expression data analysis |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/38899 |
| work_keys_str_mv | AT wangruiping applicationoffeatureselectionalgorithmsingeneexpressiondataanalysis |