MiPP statistics

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Associated diseases

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MiPP specifications

Information


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
Requirements
stats, Biobase, MASS, e1071, R(>=2.4)
Maintained Yes

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Documentation


Maintainer


  • person_outline Jae Lee <>

Publication for Misclassification-Penalized Posterior

MiPP in publications

 (3)
PMCID: 4759767
PMID: 26892349
DOI: 10.1186/s12859-016-0942-8

[…] the “coxen” method was utilized to filter gene signatures between human and dog datasets based on strong co-expression patterns. models were built using linear discriminant analysis via the misclassification penalized posterior algorithm., the best doxorubicin model involved genes identified in human lines that were co-expressed and trained on canine os tumor data, which accurately […]

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

[…] meta-analysis in the one-hit model (). shows the receiver operating characteristic (roc) and the area under the curve (auc) of the prediction model with an optimal set of 15-genes chosen in the mipp classification procedure (see ). the analysis procedure is named as meta-mipp. the accuracy was 86% with a sensitivity of 75% and a specificity of 91.2% for the 50-sample dataset, compared […]

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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