Network-Based Information Synergy Analysis for Alzheimer Disease

Xuewei Wang, Hirosha Geekiyanage, Christina Chan

Research output: Chapter in Book/Report/Conference proceedingChapter

LanguageEnglish (US)
Title of host publicationStatistical and Machine Learning Approaches for Network Analysis
PublisherJohn Wiley and Sons
Pages245-259
Number of pages15
ISBN (Print)9780470195154
DOIs
StatePublished - Jun 21 2012

Profile

Alzheimer's Disease
Synergy

Keywords

  • Computational approaches, gene pair sets relevant to phenotype
  • Functional interaction data integration, for novel genes in diseases
  • Network-based information synergy, mechanisms underlying AD
  • Synergistic gene pairs from microarray, hub genes in positive synergy
  • Synergistic, "mutual information", GSE5281 in GEO, for AD

ASJC Scopus subject areas

  • Mathematics(all)

Cite this

Wang, X., Geekiyanage, H., & Chan, C. (2012). Network-Based Information Synergy Analysis for Alzheimer Disease. In Statistical and Machine Learning Approaches for Network Analysis (pp. 245-259). John Wiley and Sons. DOI: 10.1002/9781118346990.ch9

Network-Based Information Synergy Analysis for Alzheimer Disease. / Wang, Xuewei; Geekiyanage, Hirosha; Chan, Christina.

Statistical and Machine Learning Approaches for Network Analysis. John Wiley and Sons, 2012. p. 245-259.

Research output: Chapter in Book/Report/Conference proceedingChapter

Wang, X, Geekiyanage, H & Chan, C 2012, Network-Based Information Synergy Analysis for Alzheimer Disease. in Statistical and Machine Learning Approaches for Network Analysis. John Wiley and Sons, pp. 245-259. DOI: 10.1002/9781118346990.ch9
Wang X, Geekiyanage H, Chan C. Network-Based Information Synergy Analysis for Alzheimer Disease. In Statistical and Machine Learning Approaches for Network Analysis. John Wiley and Sons. 2012. p. 245-259. Available from, DOI: 10.1002/9781118346990.ch9
Wang, Xuewei ; Geekiyanage, Hirosha ; Chan, Christina. / Network-Based Information Synergy Analysis for Alzheimer Disease. Statistical and Machine Learning Approaches for Network Analysis. John Wiley and Sons, 2012. pp. 245-259
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