Development of clustering-based tool for high content screening analysis

Development of clustering-based tool for high content screening analysis

Data mining is a procedure that allows information to be extracted from large samples of data. It requires clustering tools to obtain inferences between data samples. In this project, the development of a clustering tool for high content screening of drug effects on cell samples is accomplished usin...

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Main Author: Lee, Benjamin Chai Pin Yeun Min.
Other Authors: Chen Lihui
Format: Final Year Project
Language:English
Published: 2012
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Online Access:http://hdl.handle.net/10356/49718
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-49718
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spelling sg-ntu-dr.10356-497182023-07-07T16:40:01Z Development of clustering-based tool for high content screening analysis Lee, Benjamin Chai Pin Yeun Min. Chen Lihui School of Electrical and Electronic Engineering William Tjhi DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Data mining is a procedure that allows information to be extracted from large samples of data. It requires clustering tools to obtain inferences between data samples. In this project, the development of a clustering tool for high content screening of drug effects on cell samples is accomplished using RGui and RapidMiner. Simulation results on large data sets are collected and reported here. Bachelor of Engineering 2012-05-23T07:01:56Z 2012-05-23T07:01:56Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/49718 en Nanyang Technological University 93 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Lee, Benjamin Chai Pin Yeun Min.
Development of clustering-based tool for high content screening analysis
description Data mining is a procedure that allows information to be extracted from large samples of data. It requires clustering tools to obtain inferences between data samples. In this project, the development of a clustering tool for high content screening of drug effects on cell samples is accomplished using RGui and RapidMiner. Simulation results on large data sets are collected and reported here.
author2 Chen Lihui
author_facet Chen Lihui
Lee, Benjamin Chai Pin Yeun Min.
format Final Year Project
author Lee, Benjamin Chai Pin Yeun Min.
author_sort Lee, Benjamin Chai Pin Yeun Min.
title Development of clustering-based tool for high content screening analysis
title_short Development of clustering-based tool for high content screening analysis
title_full Development of clustering-based tool for high content screening analysis
title_fullStr Development of clustering-based tool for high content screening analysis
title_full_unstemmed Development of clustering-based tool for high content screening analysis
title_sort development of clustering-based tool for high content screening analysis
publishDate 2012
url http://hdl.handle.net/10356/49718
_version_ 1772826847430574080

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