Computational approaches for disease gene identification

Identifying disease genes from the human genome is a crucial but challenging task in the area of bioinformatics research and medical health. In wet-lab experiments, disease genes are identified using mutation analysis, which is very expensive and labor intensive. In this thesis, we proposed novel co...

Full description

Saved in:

Bibliographic Details
Main Author:	Yang, Peng
Other Authors:	Ng See-Kiong
Format:	Theses and Dissertations
Language:	English
Published:	2014
Subjects:	DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
Online Access:	https://hdl.handle.net/10356/59238
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-59238
record_format	dspace
spelling	sg-ntu-dr.10356-592382023-03-04T00:45:54Z Computational approaches for disease gene identification Yang, Peng Ng See-Kiong Kwoh Chee Keong Li Xiaoli School of Computer Engineering Bioinformatics Research Centre DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications Identifying disease genes from the human genome is a crucial but challenging task in the area of bioinformatics research and medical health. In wet-lab experiments, disease genes are identified using mutation analysis, which is very expensive and labor intensive. In this thesis, we proposed novel computational approaches to prioritize and identify disease genes. The experimental results show that our work is more robust and accurate than other state-of-the-the-art techniques for disease gene identification. DOCTOR OF PHILOSOPHY (SCE) 2014-04-28T02:05:13Z 2014-04-28T02:05:13Z 2014 2014 Thesis Yang, P. (2014). Computational approaches for disease gene identification. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/59238 10.32657/10356/59238 en 179 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
spellingShingle	DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications Yang, Peng Computational approaches for disease gene identification
description	Identifying disease genes from the human genome is a crucial but challenging task in the area of bioinformatics research and medical health. In wet-lab experiments, disease genes are identified using mutation analysis, which is very expensive and labor intensive. In this thesis, we proposed novel computational approaches to prioritize and identify disease genes. The experimental results show that our work is more robust and accurate than other state-of-the-the-art techniques for disease gene identification.
author2	Ng See-Kiong
author_facet	Ng See-Kiong Yang, Peng
format	Theses and Dissertations
author	Yang, Peng
author_sort	Yang, Peng
title	Computational approaches for disease gene identification
title_short	Computational approaches for disease gene identification
title_full	Computational approaches for disease gene identification
title_fullStr	Computational approaches for disease gene identification
title_full_unstemmed	Computational approaches for disease gene identification
title_sort	computational approaches for disease gene identification
publishDate	2014
url	https://hdl.handle.net/10356/59238
_version_	1759856232739373056

Computational approaches for disease gene identification

Similar Items