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...

Full description

Bibliographic Details
Main Author:	Htike@Muhammad Yusof, Zaw Zaw
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	T Technology (General)
Online Access:	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

id	iium-38059
recordtype	eprints
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 Conference or Workshop Item 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/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
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	Conference or Workshop Item
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
publishDate	2014
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
first_indexed	2023-09-18T20:54:37Z
last_indexed	2023-09-18T20:54:37Z
_version_	1777410220940591104

Premalignant pancreatic cancer diagnosis using proteomic pattern analysis

Similar Items