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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Bibliographic Details
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
Description
Summary: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.

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