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MBP specifications


Unique identifier OMICS_14507
Name MBP
Alternative name Module-Based Prediction


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Publication for Module-Based Prediction

MBP citations


Comprehensive literature review and statistical considerations for microarray meta analysis

Nucleic Acids Res
PMCID: 3351145
PMID: 22262733
DOI: 10.1093/nar/gkr1265

[…] zation techniques to solve or alleviate such a problem, including cross-platform normalization (XPN) (), distance-weighted discrimination (DWD) (), ratio-adjusted gene-wise normalization (rGN) () and module-based prediction (MBP) (). In these approaches, data are normalized across studies so the prediction model can be applied across studies (). Rank-based robust approaches have also been used (,) […]


Combining modularity, conservation, and interactions of proteins significantly increases precision and coverage of protein function prediction

BMC Genomics
PMCID: 3017542
PMID: 21171995
DOI: 10.1186/1471-2164-11-717

[…] y using only orthology, the overall precision remains below that of most PPI-based methods [].In this paper, we describe a novel algorithm for protein function prediction that combines link-based and module-based prediction with orthology, thus overcoming the respective limitations of each individual approach. The key to our method is to analyze proteins within modules that are defined by evolutio […]


Prioritizing functional modules mediating genetic perturbations and their phenotypic effects: a global strategy

Genome Biol
PMCID: 2646278
PMID: 19087245
DOI: 10.1186/gb-2008-9-12-r174

[…] ld potentially be applied to a variety of fields. For example, it might be interesting to see how it helps identify differentially expressed gene sets in microarray data analysis. More importantly, a module-based prediction strategy will benefit the study of human diseases by transferring phenotypic data learned from other organisms to human beings. This has significant implications for the treatm […]


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MBP institution(s)
Cooperative Studies Program, VA Maryland Health Care System, Perry Point, MD, USA; Department of Biostatistics, Graduate School of Public Health, Pittsburgh, PA, USA; Department of Computational Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Department of Informatics, Precision Therapeutics, Inc. Pittsburgh, PA, USA; Dorothy P. and Richard P. Simmons Center for Interstitial Lung Disease, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA; Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
MBP funding source(s)
Supported by National Institutes of Health (KL2 RR024154-04); University of Pittsburgh (Central Research Development Fund; Competitive Medical Research Fund); Cooperative Studies Program, VA Maryland HCS; Precision Therapeutics Inc., Pittsburgh, PA.

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