Iterative local gaussian clustering for expressed genes identification linked to malignancy of human colarectal carcinoma
Gene expression profiling plays an important role in the identification of biological and clinical properties of human solid tumors such as colorectal carcinoma. Profiling is required to reveal underlying molecular features for diagnostic and therapeutic purposes. A non-parametric density-estimation...
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| Format: | Article |
| Language: | en |
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Biomedical Informatics Publishing Group
2007
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| Online Access: | http://eprints.utm.my/8185/1/IWasito2007-Iterative_Local_Gaussian_Clustering_For.pdf http://eprints.utm.my/8185/ http://www.bioinformation.net |
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| author | Wasito, Ito Mohd. Hashim, Siti Zaiton Sukmaningrum, Sri |
| author_facet | Wasito, Ito Mohd. Hashim, Siti Zaiton Sukmaningrum, Sri |
| author_sort | Wasito, Ito |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Gene expression profiling plays an important role in the identification of biological and clinical properties of human solid tumors such as colorectal carcinoma. Profiling is required to reveal underlying molecular features for diagnostic and therapeutic purposes. A non-parametric density-estimation-based approach called iterative local Gaussian clustering (ILGC), was used to identify clusters of expressed genes. We used experimental data from a previous study by Muro and others consisting of 1,536 genes in 100 colorectal cancer and 11 normal tissues. In this dataset, the ILGC finds three clusters, two large and one small gene clusters, similar to their results which used Gaussian mixture clustering. The correlation of each cluster of genes and clinical properties of malignancy of human colorectal cancer was analysed for the existence of tumor or normal, the existence of distant metastasis and the existence of lymph node metastasis. |
| format | Article |
| id | my.utm.eprints-8185 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2007 |
| publisher | Biomedical Informatics Publishing Group |
| record_format | eprints |
| spelling | my.utm.eprints-81852017-10-12T01:45:44Z http://eprints.utm.my/8185/ Iterative local gaussian clustering for expressed genes identification linked to malignancy of human colarectal carcinoma Wasito, Ito Mohd. Hashim, Siti Zaiton Sukmaningrum, Sri ZA4050 Electronic information resources ZA4450 Databases Gene expression profiling plays an important role in the identification of biological and clinical properties of human solid tumors such as colorectal carcinoma. Profiling is required to reveal underlying molecular features for diagnostic and therapeutic purposes. A non-parametric density-estimation-based approach called iterative local Gaussian clustering (ILGC), was used to identify clusters of expressed genes. We used experimental data from a previous study by Muro and others consisting of 1,536 genes in 100 colorectal cancer and 11 normal tissues. In this dataset, the ILGC finds three clusters, two large and one small gene clusters, similar to their results which used Gaussian mixture clustering. The correlation of each cluster of genes and clinical properties of malignancy of human colorectal cancer was analysed for the existence of tumor or normal, the existence of distant metastasis and the existence of lymph node metastasis. Biomedical Informatics Publishing Group 2007 Article PeerReviewed application/pdf en http://eprints.utm.my/8185/1/IWasito2007-Iterative_Local_Gaussian_Clustering_For.pdf Wasito, Ito and Mohd. Hashim, Siti Zaiton and Sukmaningrum, Sri (2007) Iterative local gaussian clustering for expressed genes identification linked to malignancy of human colarectal carcinoma. Bioinformation, 2 (5). pp. 175-181. ISSN 0973-8894 http://www.bioinformation.net |
| spellingShingle | ZA4050 Electronic information resources ZA4450 Databases Wasito, Ito Mohd. Hashim, Siti Zaiton Sukmaningrum, Sri Iterative local gaussian clustering for expressed genes identification linked to malignancy of human colarectal carcinoma |
| title | Iterative local gaussian clustering for expressed genes identification linked to malignancy of human colarectal carcinoma
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| title_full | Iterative local gaussian clustering for expressed genes identification linked to malignancy of human colarectal carcinoma
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| title_fullStr | Iterative local gaussian clustering for expressed genes identification linked to malignancy of human colarectal carcinoma
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| title_full_unstemmed | Iterative local gaussian clustering for expressed genes identification linked to malignancy of human colarectal carcinoma
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| title_short | Iterative local gaussian clustering for expressed genes identification linked to malignancy of human colarectal carcinoma
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| title_sort | iterative local gaussian clustering for expressed genes identification linked to malignancy of human colarectal carcinoma |
| topic | ZA4050 Electronic information resources ZA4450 Databases |
| url | http://eprints.utm.my/8185/1/IWasito2007-Iterative_Local_Gaussian_Clustering_For.pdf http://eprints.utm.my/8185/ http://www.bioinformation.net |
| url_provider | http://eprints.utm.my/ |