Latex glove protein detection using maximum-minimum clustering variation technique

An improvement to previously proposed maximum-minimum variation (MMV) test for protein levels quantification is reported. The additional process is artefacts segmentation in latex glove sample by using k-means clustering algorithm. The new proposed maximum-minimum clustering variation (MMCV) techniq...

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Main Authors: Ting, Huong Yong, Ong, Chia Sui, Sim, Kok Swee, Tso, Chih Ping
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
Online Access:http://shdl.mmu.edu.my/1910/
http://shdl.mmu.edu.my/1910/1/Latex%20glove%20protein%20detection%20using%20maximum-minimum%20clustering%20variation%20technique.pdf
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author Ting, Huong Yong
Ong, Chia Sui
Sim, Kok Swee
Tso, Chih Ping
author_facet Ting, Huong Yong
Ong, Chia Sui
Sim, Kok Swee
Tso, Chih Ping
author_sort Ting, Huong Yong
building MMU Institutional Repository
collection Online Access
description An improvement to previously proposed maximum-minimum variation (MMV) test for protein levels quantification is reported. The additional process is artefacts segmentation in latex glove sample by using k-means clustering algorithm. The new proposed maximum-minimum clustering variation (MMCV) technique, give significantly better results in terms of consistency and accuracy than existing methods.
first_indexed 2025-11-14T18:04:14Z
format Conference or Workshop Item
id mmu-1910
institution Multimedia University
institution_category Local University
language English
last_indexed 2025-11-14T18:04:14Z
publishDate 2009
recordtype eprints
repository_type Digital Repository
spelling mmu-19102017-01-10T09:35:37Z http://shdl.mmu.edu.my/1910/ Latex glove protein detection using maximum-minimum clustering variation technique Ting, Huong Yong Ong, Chia Sui Sim, Kok Swee Tso, Chih Ping T Technology (General) QA75.5-76.95 Electronic computers. Computer science An improvement to previously proposed maximum-minimum variation (MMV) test for protein levels quantification is reported. The additional process is artefacts segmentation in latex glove sample by using k-means clustering algorithm. The new proposed maximum-minimum clustering variation (MMCV) technique, give significantly better results in terms of consistency and accuracy than existing methods. 2009-07 Conference or Workshop Item NonPeerReviewed text en http://shdl.mmu.edu.my/1910/1/Latex%20glove%20protein%20detection%20using%20maximum-minimum%20clustering%20variation%20technique.pdf Ting, Huong Yong and Ong, Chia Sui and Sim, Kok Swee and Tso, Chih Ping (2009) Latex glove protein detection using maximum-minimum clustering variation technique. In: Conference on Innovative Technologies in Intelligent Systems and Industrial Applications, 25-26 July 2009, Kuala Lumpur, MALAYSIA. http://dx.doi.org/10.1109/CITISIA.2009.5224200 doi:10.1109/CITISIA.2009.5224200 doi:10.1109/CITISIA.2009.5224200
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Ting, Huong Yong
Ong, Chia Sui
Sim, Kok Swee
Tso, Chih Ping
Latex glove protein detection using maximum-minimum clustering variation technique
title Latex glove protein detection using maximum-minimum clustering variation technique
title_full Latex glove protein detection using maximum-minimum clustering variation technique
title_fullStr Latex glove protein detection using maximum-minimum clustering variation technique
title_full_unstemmed Latex glove protein detection using maximum-minimum clustering variation technique
title_short Latex glove protein detection using maximum-minimum clustering variation technique
title_sort latex glove protein detection using maximum-minimum clustering variation technique
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/1910/
http://shdl.mmu.edu.my/1910/
http://shdl.mmu.edu.my/1910/
http://shdl.mmu.edu.my/1910/1/Latex%20glove%20protein%20detection%20using%20maximum-minimum%20clustering%20variation%20technique.pdf