K-Means clustering for DNA computing readout method implemented on lightcycler system
In the previous paper, a readout approach for the Hamiltonian Path Problem (HPP) in DNA computing based on the real-time polymerase chain reaction (PCR) was proposed. Based on this approach, real-time amplification was performed with the TaqMan probes and the TaqMan detection mechanism was exploited...
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| Online Access: | http://eprints.utm.my/id/eprint/12646/1/MuhammadFaizMohamed2008_KMeansClusteringforDNAComputingReadout.pdf http://eprints.utm.my/id/eprint/12646/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:99309 |
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my.utm.126462020-03-17T08:17:47Z http://eprints.utm.my/id/eprint/12646/ K-Means clustering for DNA computing readout method implemented on lightcycler system Mohamed Saaid, Muhammad Faiz Ibrahim, Zuwairie Khalid, Marzuki Sarmin, Nor Haniza QA Mathematics TK Electrical engineering. Electronics Nuclear engineering In the previous paper, a readout approach for the Hamiltonian Path Problem (HPP) in DNA computing based on the real-time polymerase chain reaction (PCR) was proposed. Based on this approach, real-time amplification was performed with the TaqMan probes and the TaqMan detection mechanism was exploited for the design and development of the readout approach. The readout approach consists of two steps: real-time amplification in vitro using TaqMan-based real-time PCR, followed by information processing in silico to assess the results of real-time ampUfication, which in turn, enables extraction of the Hamiltonian path. However, the previous method used manual classification of two different output reactions of real-time PCR. In this paper, K-means clustering algorithm is used to identify automatically two different reactions in real-time PCR. It is shown that K-means clustering technique can be implemented for clustering output results of DNA computing readout method based on LightCycler System 2009-02 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/12646/1/MuhammadFaizMohamed2008_KMeansClusteringforDNAComputingReadout.pdf Mohamed Saaid, Muhammad Faiz and Ibrahim, Zuwairie and Khalid, Marzuki and Sarmin, Nor Haniza (2009) K-Means clustering for DNA computing readout method implemented on lightcycler system. In: South East Asian Technical Universities Consortium(SEATUC) - 3rd SEATUC Symposium Proceeding, 25th - 26th February 2009, Johor Bahru, Malaysia. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:99309 |
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QA Mathematics TK Electrical engineering. Electronics Nuclear engineering Mohamed Saaid, Muhammad Faiz Ibrahim, Zuwairie Khalid, Marzuki Sarmin, Nor Haniza K-Means clustering for DNA computing readout method implemented on lightcycler system |
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In the previous paper, a readout approach for the Hamiltonian Path Problem (HPP) in DNA computing based on the real-time polymerase chain reaction (PCR) was proposed. Based on this approach, real-time amplification was performed with the TaqMan probes and the TaqMan detection mechanism was exploited for the design and development of the readout approach. The readout approach consists of two steps: real-time amplification in vitro using TaqMan-based real-time PCR, followed by information processing in silico to assess the results of real-time ampUfication, which in turn, enables extraction of the Hamiltonian path. However, the previous method used manual classification of two different output reactions of real-time PCR. In this paper, K-means clustering algorithm is used to identify automatically two different reactions in real-time PCR. It is shown that K-means clustering technique can be implemented for clustering output results of DNA computing readout method based on LightCycler System |
| format |
Conference or Workshop Item |
| author |
Mohamed Saaid, Muhammad Faiz Ibrahim, Zuwairie Khalid, Marzuki Sarmin, Nor Haniza |
| author_facet |
Mohamed Saaid, Muhammad Faiz Ibrahim, Zuwairie Khalid, Marzuki Sarmin, Nor Haniza |
| author_sort |
Mohamed Saaid, Muhammad Faiz |
| title |
K-Means clustering for DNA computing readout method implemented on lightcycler system |
| title_short |
K-Means clustering for DNA computing readout method implemented on lightcycler system |
| title_full |
K-Means clustering for DNA computing readout method implemented on lightcycler system |
| title_fullStr |
K-Means clustering for DNA computing readout method implemented on lightcycler system |
| title_full_unstemmed |
K-Means clustering for DNA computing readout method implemented on lightcycler system |
| title_sort |
k-means clustering for dna computing readout method implemented on lightcycler system |
| publishDate |
2009 |
| url |
http://eprints.utm.my/id/eprint/12646/1/MuhammadFaizMohamed2008_KMeansClusteringforDNAComputingReadout.pdf http://eprints.utm.my/id/eprint/12646/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:99309 |
| _version_ |
1662754228371718144 |
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13.211869 |