A fast and high performance multiple data integration algorithm for identifying human disease genes
Published 2015 View Full Article
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Title
A fast and high performance multiple data integration algorithm for identifying human disease genes
Authors
Keywords
disease gene, Bayesian analysis, logistic regression, multiple data integration, feature vector
Journal
BMC Medical Genomics
Volume 8, Issue S3, Pages -
Publisher
Springer Nature
Online
2015-09-24
DOI
10.1186/1755-8794-8-s3-s2
References
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Related references
Note: Only part of the references are listed.- Prediction of disease-related genes based on weighted tissue-specific networks by using DNA methylation
- (2014) Min Li et al. BMC Medical Genomics
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- (2014) Bolin Chen et al. BMC Medical Genomics
- Prediction of disease genes using tissue-specified gene-gene network
- (2014) Gamage Ganegoda et al. BMC Systems Biology
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- (2014) BoLin Chen et al. Science China-Life Sciences
- Identifying protein complexes and functional modules--from static PPI networks to dynamic PPI networks
- (2013) B. Chen et al. BRIEFINGS IN BIOINFORMATICS
- PCDq: human protein complex database with quality index which summarizes different levels of evidences of protein complexes predicted from H-Invitational protein-protein interactions integrative dataset
- (2012) Shingo Kikugawa et al. BMC Systems Biology
- Pharmacogenomics Knowledge for Personalized Medicine
- (2012) M Whirl-Carrillo et al. CLINICAL PHARMACOLOGY & THERAPEUTICS
- Unifying protein inference and peptide identification with feedback to update consistency between peptides
- (2012) Jinhong Shi et al. PROTEOMICS
- Integrating multiple protein-protein interaction networks to prioritize disease genes: a Bayesian regression approach
- (2011) Wangshu Zhang et al. BMC BIOINFORMATICS
- In Silico Gene Prioritization by Integrating Multiple Data Sources
- (2011) Yixuan Chen et al. PLoS One
- Associating Genes and Protein Complexes with Disease via Network Propagation
- (2010) Oron Vanunu et al. PLoS Computational Biology
- CORUM: the comprehensive resource of mammalian protein complexes—2009
- (2009) Andreas Ruepp et al. NUCLEIC ACIDS RESEARCH
- A Pathway-Based View of Human Diseases and Disease Relationships
- (2009) Yong Li et al. PLoS One
- BioGPS: an extensible and customizable portal for querying and organizing gene annotation resources
- (2009) Chunlei Wu et al. GENOME BIOLOGY
- Walking the Interactome for Prioritization of Candidate Disease Genes
- (2008) Sebastian Köhler et al. AMERICAN JOURNAL OF HUMAN GENETICS
- PID: the Pathway Interaction Database
- (2008) Carl F. Schaefer et al. NUCLEIC ACIDS RESEARCH
- Human Protein Reference Database--2009 update
- (2008) T. S. Keshava Prasad et al. NUCLEIC ACIDS RESEARCH
- Response to Chatr-aryamontri et al.: Protein interactions: to believe or not to believe?
- (2008) Joel P. Mackay et al. TRENDS IN BIOCHEMICAL SCIENCES
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