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SVMlight specifications


Unique identifier OMICS_14776
Name SVMlight
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages C
Computer skills Advanced
Version 6.02
Stability Stable
Maintained Yes




No version available

Publication for SVMlight

SVMlight citations


Natural language processing in text mining for structural modeling of protein complexes

BMC Bioinformatics
PMCID: 5838950
PMID: 29506465
DOI: 10.1186/s12859-018-2079-4

[…] ences. The SVM model was trained and validated (in 50/50 random split) on a subset of 1921 positive (with the interface residue) and 3865 negative (non-interface residue only) sentences using program SVMLight with linear, polynomial and RBF kernels [–]. The sentences were chosen in the order of abstract appearance in the TM results.The SVM performance was evaluated in usual terms of precision P, r […]


In Silico Approach for Prediction of Antifungal Peptides

Front Microbiol
PMCID: 5834480
PMID: 29535692
DOI: 10.3389/fmicb.2018.00323

[…] Different machine learning approaches like SVMlight, Random Forest (RF), Naïve Bayes, J48, and SMO were used in the study to generate models on different input features for distinguishing AFPs from non-AFPs. The results are explained in detail […]


A Compact and Low Power RO PUF with High Resilience to the EM Side Channel Attack and the SVM Modelling Attack of Wireless Sensor Networks

PMCID: 5856110
PMID: 29360790
DOI: 10.3390/s18020322

[…] UF using the UMC 65 nm CMOS technology to generate the enough training and testing CRPs. shows the prediction results for the proposed 64-bit RO PUF with and without reconfigurability using the tool SVMlight []. The reconfigurability is disabled by fixing the value of Nclk in the LFSR counter. The prediction accuracy is higher than 90% with only 1000 training CRPs for the RO PUF without reconfigu […]


IL17eScan: A Tool for the Identification of Peptides Inducing IL 17 Response

Front Immunol
PMCID: 5671494
PMID: 29163505
DOI: 10.3389/fimmu.2017.01430
call_split See protocol

[…] ature spaces and avoid over-fitting, and thus, has been extensively implemented in several immune epitopes prediction tools (, , ), protein structure prediction () and genomic data (). In this study, SVMlight package, available at was used for SVM-based predictive modeling. The linear, polynomial, and radial bias function (RBF) kernels were tested using various parame […]


Distant Supervision with Transductive Learning for Adverse Drug Reaction Identification from Electronic Medical Records

PMCID: 5635478
PMID: 29090077
DOI: 10.1155/2017/7575280

[…] r experiment, we use MetaMap Java API for NER and Stanford CoreNLP Java API for OpenIE and implement Python program for EM-based methods. For model comparison, we execute WEKA Java-based software and SVMlight (, which is implemented in C programming language, on Mac OS with Intel Core i5 processor running at 2.5 GHz and 8 GB of physical memory. (26)precision=tptp+fp,( […]


ASPsiRNA: A Resource of ASP siRNAs Having Therapeutic Potential for Human Genetic Disorders and Algorithm for Prediction of Their Inhibitory Efficacy

PMCID: 5592921
PMID: 28696921
DOI: 10.1534/g3.117.044024

[…] The SVMlight ( software package was used to train the different siRNA features and develop predictive models using 10nCV. In this study, we have used the radial basis function […]


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SVMlight institution(s)
Dipartimento di Informatica e Sistemistica Antonio Ruberti, Università di Roma La Sapienza, Roma, Italy; Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti, Consiglio Nazionale delle Ricerche, Roma, Italy
SVMlight funding source(s)
This work was supported by CNR-Agenzia2000, National Research Program Optimization methods for Support Vector Machines training.

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