NDLI: Discovering dysregulated phenotype-related gene patterns

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Discovering dysregulated phenotype-related gene patterns

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Discovering dysregulated phenotype-related gene patterns

Content Provider	ACM Digital Library
Author	Salem, Saeed Alroobi, Rami
Abstract	With the abundance of vast amounts of "-omic" biological data from multiple sources that span diverse biological processes, approaches for answering critical questions become a vital mission. To grasp more comprehensive view of the biology of the organism, recent research has focused on integrating multiple sources of data. This integration provides more insights and helps reduce the impact of problems each source may have. Recent research showed that differentially expressed, or dysregulated, patterns of interacting proteins exhibit more interesting properties with respect to many complex phenotypes. In this work we follow an integrative approach by combining the physical protein-protein interaction, PPI, network with gene expression data for a number of diseases and phenotypes. In this study, we propose an algorithm for mining Dysregulated Phenotype-Related interacting genes, DPRs. Experimental results on 88 Human gene expression datasets that were annotated by employing UMLS mapping demonstrate the effectiveness of the algorithm in discovering biologically and statistically significant DPRs.
Starting Page	524
Ending Page	532
Page Count	9
File Format	PDF
ISBN	9781450328944
DOI	10.1145/2649387.2649441
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-09-20
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Dysregulated Phenotype Dpr -omic Biological
Content Type	Text
Resource Type	Article

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