Premalignant pancreatic cancer diagnosis using proteomic pattern analysis
Pancreatic cancer is one of the deadliest cancers due to the fact that it does not exhibit symptoms in the early stages. Furthermore, when pancreatic cancer gets diagnosed, it is usually too late. Consequently, early diagnosis is highly essential. The dawn of proteomics has brought with it a glimps...
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| Format: | Proceeding Paper |
| Language: | English |
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2014
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| Online Access: | http://irep.iium.edu.my/38059/ http://irep.iium.edu.my/38059/1/D0012_Premalignant_Pancreatic_Cancer_Diagnosis_Using_Proteomic_Pattern_Analysis.pdf |
| _version_ | 1848781529859227648 |
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| author | Htike@Muhammad Yusof, Zaw Zaw |
| author_facet | Htike@Muhammad Yusof, Zaw Zaw |
| author_sort | Htike@Muhammad Yusof, Zaw Zaw |
| building | IIUM Repository |
| collection | Online Access |
| description | Pancreatic cancer is one of the deadliest cancers due to the fact that it does not exhibit symptoms in the early stages. Furthermore, when pancreatic cancer gets diagnosed, it is usually too late. Consequently, early diagnosis is highly essential. The dawn of proteomics has brought with it a glimpse of hope of uncovering biomarkers that can be indicative of early pancreatic cancer. Proteome profiling techniques have become popular in the recent years to try to make sense of high-dimensional proteomic data and to find discrepancies between proteomes of healthy samples and cancerous samples. However, the high dimensionality of proteomics data coupled with small sample size poses a challenge. In this paper, we propose a framework using a hybrid logistic tree technique together with a feature selection technique to diagnose premalignant pancreatic cancer. We have validated our framework on a pancreatic cancer peptide mass spectrometry dataset. Satisfactory preliminary experimental results demonstrate the efficacy of our framework. |
| first_indexed | 2025-11-14T15:51:01Z |
| format | Proceeding Paper |
| id | iium-38059 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:51:01Z |
| publishDate | 2014 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-380592018-06-19T06:22:48Z http://irep.iium.edu.my/38059/ Premalignant pancreatic cancer diagnosis using proteomic pattern analysis Htike@Muhammad Yusof, Zaw Zaw T Technology (General) Pancreatic cancer is one of the deadliest cancers due to the fact that it does not exhibit symptoms in the early stages. Furthermore, when pancreatic cancer gets diagnosed, it is usually too late. Consequently, early diagnosis is highly essential. The dawn of proteomics has brought with it a glimpse of hope of uncovering biomarkers that can be indicative of early pancreatic cancer. Proteome profiling techniques have become popular in the recent years to try to make sense of high-dimensional proteomic data and to find discrepancies between proteomes of healthy samples and cancerous samples. However, the high dimensionality of proteomics data coupled with small sample size poses a challenge. In this paper, we propose a framework using a hybrid logistic tree technique together with a feature selection technique to diagnose premalignant pancreatic cancer. We have validated our framework on a pancreatic cancer peptide mass spectrometry dataset. Satisfactory preliminary experimental results demonstrate the efficacy of our framework. 2014-07-11 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/38059/1/D0012_Premalignant_Pancreatic_Cancer_Diagnosis_Using_Proteomic_Pattern_Analysis.pdf Htike@Muhammad Yusof, Zaw Zaw (2014) Premalignant pancreatic cancer diagnosis using proteomic pattern analysis. In: International Conference on Biological and Medical Sciences (ICBMS 2014), 27-28 September 2014, Bali, Indonesia. (In Press) http://www.icbms.org/ |
| spellingShingle | T Technology (General) Htike@Muhammad Yusof, Zaw Zaw Premalignant pancreatic cancer diagnosis using proteomic pattern analysis |
| title | Premalignant pancreatic cancer diagnosis using proteomic pattern analysis |
| title_full | Premalignant pancreatic cancer diagnosis using proteomic pattern analysis |
| title_fullStr | Premalignant pancreatic cancer diagnosis using proteomic pattern analysis |
| title_full_unstemmed | Premalignant pancreatic cancer diagnosis using proteomic pattern analysis |
| title_short | Premalignant pancreatic cancer diagnosis using proteomic pattern analysis |
| title_sort | premalignant pancreatic cancer diagnosis using proteomic pattern analysis |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/38059/ http://irep.iium.edu.my/38059/ http://irep.iium.edu.my/38059/1/D0012_Premalignant_Pancreatic_Cancer_Diagnosis_Using_Proteomic_Pattern_Analysis.pdf |