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MiPP specifications


Unique identifier OMICS_14863
Name MiPP
Alternative name Misclassification-Penalized Posterior
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Mac OS, Windows
License GNU General Public License version 2.0
Computer skills Advanced
Version 1.52.0
Stability Stable
stats, Biobase, MASS, e1071, R(>=2.4)
Maintained Yes




No version available



  • person_outline Jae Lee

Publication for Misclassification-Penalized Posterior

MiPP citations


Microarray Meta Analysis Identifies Acute Lung Injury Biomarkers in Donor Lungs That Predict Development of Primary Graft Failure in Recipients

PLoS One
PMCID: 3470558
PMID: 23071521
DOI: 10.1371/journal.pone.0045506

[…] at the utility of the lung injury profile generated by the meta-analysis to classify lungs that have a “severe" injury profile and should therefore be excluded from transplantation.In our study, the MiPP gene signatures include 15 genes: TMEM134, PIGQ, CH25H, ARPC3, MCAM, TIPARP, F3, AP4S1, C14orf133, PLAUR, NFE2L2, CYR61, ARG2, TMEM183A and GLRX. A number of these genes have been found to be ‘bi […]


Personalized Medicine in Breast Cancer: A Systematic Review

PMCID: 3468779
PMID: 23091538
DOI: 10.4048/jbc.2012.15.3.265

[…] tatistical measures such as classification error rate and area under the receiver operating characteristic curve, the product of posterior classification probabilities [-], and an index so-called the misclassification-penalized posterior []. The leave-one-out approach, random splitting, and bootstrapping are often employed for an internal cross validation. Additionally, multicenter validation is a […]


Generation of a Predictive Melphalan Resistance Index by Drug Screen of B Cell Cancer Cell Lines

PLoS One
PMCID: 3084810
PMID: 21559449
DOI: 10.1371/journal.pone.0019322

[…] the selection of gene expressions for the organ specific cell lines which correlate with gene expressions in patient material before developing their classifier by a misclassification-penalized posterior algorithm. However, Liedtke et al. were unable to predict the outcome of chemotherapy response with an approach based on diagonal […]


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MiPP institution(s)
Division of Biometrics III, Food and Drug Administration, Chinakville, MD, USA; Division of Biostatistics and Epidemiology, University of Virginia, Charlottesville, VA, USA
MiPP funding source(s)
This study was supported by the American Cancer Society grant RSG-02-182-01-MGO.

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