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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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Main Author: Htike@Muhammad Yusof, Zaw Zaw
Format: Article
Language:English
Published: Engineering and Technology Publishing 2015
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/39902/1/20141114105404326.pdf
http://irep.iium.edu.my/39902/
http://www.jomb.org/index.php?m=content&c=index&a=lists&catid=46
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spelling my.iium.irep.399022016-11-07T08:12:57Z http://irep.iium.edu.my/39902/ 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. Engineering and Technology Publishing 2015-08 Article REM application/pdf en http://irep.iium.edu.my/39902/1/20141114105404326.pdf Htike@Muhammad Yusof, Zaw Zaw (2015) Premalignant pancreatic cancer diagnosis using proteomic pattern analysis. Journal of Medical and Bioengineering, 4 (4). pp. 288-292. ISSN 2301-3796 http://www.jomb.org/index.php?m=content&c=index&a=lists&catid=46
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Htike@Muhammad Yusof, Zaw Zaw
Premalignant pancreatic cancer diagnosis using proteomic pattern analysis
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.
format Article
author Htike@Muhammad Yusof, Zaw Zaw
author_facet Htike@Muhammad Yusof, Zaw Zaw
author_sort Htike@Muhammad Yusof, Zaw Zaw
title Premalignant pancreatic cancer diagnosis using proteomic pattern analysis
title_short 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_sort premalignant pancreatic cancer diagnosis using proteomic pattern analysis
publisher Engineering and Technology Publishing
publishDate 2015
url http://irep.iium.edu.my/39902/1/20141114105404326.pdf
http://irep.iium.edu.my/39902/
http://www.jomb.org/index.php?m=content&c=index&a=lists&catid=46
_version_ 1643611721485516800
score 13.211869

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