BioSunMS statistics

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Citations per year

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Popular tool citations

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Tool usage distribution map

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Associated diseases

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BioSunMS specifications


Unique identifier OMICS_26476
Name BioSunMS
Software type Application/Script
Interface Graphical user interface
Restrictions to use Academic or non-commercial use
Operating system Unix/Linux, Windows
Programming languages Java, R
License GNU General Public License version 2.0
Computer skills Medium
Version 1.0.1
Stability Beta
Maintained Yes


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  • person_outline Wuju Li <>
  • person_outline Rdfolder Team <>
  • person_outline Yuan Cao <>
  • person_outline Na Wang <>
  • person_outline Ailing Li <>

Publication for BioSunMS

BioSunMS in publications

PMCID: 3813581
PMID: 24179540
DOI: 10.3892/ol.2013.1574

[…] for their discriminatory power. the support vector machine (svm) method is an effective algorithm for gene selection and cancer classification and was consequently used for class prediction ( (). the parameters in the gaussian kernel function were optimized using the grid search approach (). the models of the training set were built using a selected number […]

PMCID: 3590609
PMID: 23509784
DOI: 10.1155/2013/814876

[…] including baseline subtraction of spectra, normalization and recalibration of a set of spectra, and internal peak alignment by using prominent peaks. then, the processed data were stored in biosunms [] and were prepared for feature selection in weka. in biosunms, independent training set (n = 81) and the test sets (n = 81) were created. based on the training set, peak statistics […]

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BioSunMS institution(s)
Center of Computational Biology, Beijing Institute of Basic Medical Sciences, Beijing, China; National Center of Biomedical Analysis, Beijing, China
BioSunMS funding source(s)
Supported by Chinese Key Project for the Infectious Diseases 2008ZX10002-016.

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