Cancer class prediction using gene expression data

Cancer class prediction using gene expression data

This project aims to devise a method of classification for tumor types by retrieving relevant information from gene expression data.

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Bibliographic Details
Main Author: Ooi, Chia Huey.
Other Authors: Li, Chuan
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Bioengineering
Online Access:http://hdl.handle.net/10356/6244
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-6244
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spelling sg-ntu-dr.10356-62442023-03-11T17:22:43Z Cancer class prediction using gene expression data Ooi, Chia Huey. Li, Chuan School of Mechanical and Production Engineering Tan, Patrick Boon Ooi DRNTU::Engineering::Bioengineering This project aims to devise a method of classification for tumor types by retrieving relevant information from gene expression data. Master of Engineering (MPE) 2008-09-17T11:10:11Z 2008-09-17T11:10:11Z 2003 2003 Thesis http://hdl.handle.net/10356/6244 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Bioengineering
spellingShingle DRNTU::Engineering::Bioengineering
Ooi, Chia Huey.
Cancer class prediction using gene expression data
description This project aims to devise a method of classification for tumor types by retrieving relevant information from gene expression data.
author2 Li, Chuan
author_facet Li, Chuan
Ooi, Chia Huey.
format Theses and Dissertations
author Ooi, Chia Huey.
author_sort Ooi, Chia Huey.
title Cancer class prediction using gene expression data
title_short Cancer class prediction using gene expression data
title_full Cancer class prediction using gene expression data
title_fullStr Cancer class prediction using gene expression data
title_full_unstemmed Cancer class prediction using gene expression data
title_sort cancer class prediction using gene expression data
publishDate 2008
url http://hdl.handle.net/10356/6244
_version_ 1761781763550478336

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