GEMS specifications


Unique identifier OMICS_24473
Alternative name Gene Expression Model Selector
Software type Application/Script
Interface Graphical user interface
Restrictions to use Academic or non-commercial use
Operating system Unix/Linux, Mac OS, Windows
Programming languages C++, MATLAB
Computer skills Medium
Version 2.0.2
Stability Stable
Registration required Yes
Maintained Yes


Add your version


  • person_outline Constantin Aliferis <>

Publications for Gene Expression Model Selector

GEMS in publications

PMCID: 4870777
PMID: 27188717
DOI: 10.1186/s12967-016-0896-7

[…] by collett [] to analyze the prognostic value of potentially prognostic factors. support vector machines (svm)-based area under receiver operating characteristic (roc) curve method as implemented in gene expression model selector (gems) software utilizing ten-fold cross-validation and linear polynomial kernel for svm [] was used to evaluate the performance of the published gene signatures […]

PMCID: 4739337
PMID: 26842629
DOI: 10.1186/s12859-016-0900-5

[…] comes from the application of biology, and 11 from gene expression datasets except arcene and madelon, are obtained from a repository of the most widely studied gene expression sets ( []. the dataset arcene, madelon and the rest are obtained from uci machine learning repository ( table 1, four dataset indicators are used […]

PMCID: 3875537
PMID: 24386356
DOI: 10.1371/journal.pone.0084253

[…] feature selection methods such as bw , one-versus-rest s2n (ovr-s2n) , kw , and ovr-t-test as references to test the general performance of our method. ovrsvm was used as classifier as well. the gems system and spider software ( in the matlab environment were employed to filter genes and fit classification model of ovrsvm., we first used […]

PMCID: 3865347
PMID: 24348903
DOI: 10.1371/journal.pone.0079843

[…] as age at diagnosis (≥12 months vs. <12 months), international neuroblastoma staging system (inss) stage (stage 4 vs. other stages), and mycn status (amplified vs. non-amplified) were tested. gems algorithm was used to construct support vector machine (svm) predictors using 20-fold cross-validation for each clinical factor: death event (de), relapse event (re), and inss stage. […]

PMCID: 2655631
PMID: 19300522
DOI: 10.1155/2009/403689

[…] method. the optimization is done by l1_ls matlab package, which is available online ( the results of svms are obtained by gene expression model selector (gems), a software with graphic user interface for classification of gene expression data, which is freely available at and used in [] for the comprehensive study […]

To access a full list of publications, you will need to upgrade to our premium service.

GEMS institution(s)
Discovery Systems Laboratory, Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
GEMS funding source(s)
Supported by NIH grants RO1 LM007948-01 and P20 LM 007613-01.

GEMS reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review GEMS