Biomarker identification based on gene microarray data
Much has been studied about cancer and one of the most extensively researched areas has been in cancer detection. Breakthrough in technology have allow scientists and researchers to identify a particular set of genes which can allow them recognize whether it possesses characteristics, exhibited by c...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2012
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/50133 |
| _version_ | 1811695004829089792 |
|---|---|
| author | Neo, Jun Xiong |
| author2 | Mao Kezhi |
| author_facet | Mao Kezhi Neo, Jun Xiong |
| author_sort | Neo, Jun Xiong |
| collection | NTU |
| description | Much has been studied about cancer and one of the most extensively researched areas has been in cancer detection. Breakthrough in technology have allow scientists and researchers to identify a particular set of genes which can allow them recognize whether it possesses characteristics, exhibited by cancerous genes. These set of genes are also known as biomarker. DNA Microarray technology has allowed scientists and researchers to amass a vast number of genes, also known as features, in various numbers of samples to do research. However the pool of genes acquired in a DNA Microarray experiment may span to a few thousand genes and only a few of these genes are biomarkers, while the rest of the genes do not provide any useful data. Thus, a technique has to be thought in order to identify and classify biomarkers. In this report, the author will look at various feature selection as well as classification techniques to identify biomarkers given a set of microarray data. |
| first_indexed | 2024-10-01T07:16:35Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/50133 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:16:35Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | ntu-10356/501332023-07-07T16:54:08Z Biomarker identification based on gene microarray data Neo, Jun Xiong Mao Kezhi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics Much has been studied about cancer and one of the most extensively researched areas has been in cancer detection. Breakthrough in technology have allow scientists and researchers to identify a particular set of genes which can allow them recognize whether it possesses characteristics, exhibited by cancerous genes. These set of genes are also known as biomarker. DNA Microarray technology has allowed scientists and researchers to amass a vast number of genes, also known as features, in various numbers of samples to do research. However the pool of genes acquired in a DNA Microarray experiment may span to a few thousand genes and only a few of these genes are biomarkers, while the rest of the genes do not provide any useful data. Thus, a technique has to be thought in order to identify and classify biomarkers. In this report, the author will look at various feature selection as well as classification techniques to identify biomarkers given a set of microarray data. Bachelor of Engineering 2012-05-30T03:49:01Z 2012-05-30T03:49:01Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/50133 en Nanyang Technological University 77 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics Neo, Jun Xiong Biomarker identification based on gene microarray data |
| title | Biomarker identification based on gene microarray data |
| title_full | Biomarker identification based on gene microarray data |
| title_fullStr | Biomarker identification based on gene microarray data |
| title_full_unstemmed | Biomarker identification based on gene microarray data |
| title_short | Biomarker identification based on gene microarray data |
| title_sort | biomarker identification based on gene microarray data |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics |
| url | http://hdl.handle.net/10356/50133 |
| work_keys_str_mv | AT neojunxiong biomarkeridentificationbasedongenemicroarraydata |