MiRenSVM statistics

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Citations per year

Number of citations per year for the bioinformatics software tool MiRenSVM
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Tool usage distribution map

This map represents all the scientific publications referring to MiRenSVM per scientific context
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MiRenSVM specifications

Information


Unique identifier OMICS_20840
Name MiRenSVM
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data Global and local intrinsic features of known miRNA.
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


No version available

Maintainers


  • person_outline Jihong Guan
  • person_outline Shuigeng Zhou

Publication for MiRenSVM

MiRenSVM citation

library_books

Computational methods for ab initio detection of microRNAs

2012
Front Genet
PMCID: 3467617
PMID: 23087705
DOI: 10.3389/fgene.2012.00209

[…] ferently, they added a P-value and minimum free energy to the classification parameters and also used a different classification algorithm. They achieved a sensitivity of 95% at a specificity of 98%. MiRenSVM an algorithm combining three SVM classifiers achieved a sensitivity of 93% at a specificity of 97% ().We have recently assessed four studies in an attempt to independently establish the relat […]


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MiRenSVM institution(s)
Shanghai Key Lab of Intelligent Information Processing, and School of Computer Science, Fudan University, Shanghai, China; Department of Computer Science and Technology, Tongji University, Shanghai, China
MiRenSVM funding source(s)
Supported by the National Basic Research Program of China under grant no.2010CB126604.

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