Predicting Parkinson's disease related genes using frequent gene co-expression analysis

Jie Zhang, Shiwei Ni, Jeffrey Parvin, Yufeng Yang, Kun Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Parkinson's disease (PD) is second most common neurodegerative disease (after Alzheimer disease) in the world. It affects locomoter control mostly in older patients. Despite many efforts in PD research including genome wide associate studies, only a few genes are known to be related to the onset and development of PD while clearly more genes and potential pathways contribute to PD [1-6].

Original languageEnglish (US)
Title of host publication2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
Pages1042-1044
Number of pages3
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011 - Atlanta, GA, United States
Duration: Nov 12 2011Nov 15 2011

Publication series

Name2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011

Other

Other2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
CountryUnited States
CityAtlanta, GA
Period11/12/1111/15/11

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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