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Feature Selection for MicroRNA Target Prediction - Comparison of One-Class Feature Selection Methodologies.

, , and . BIOINFORMATICS, page 216-225. SciTePress, (2016)

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Detecting Semantic Similarity of Diseases based Machine Learning., , , and . BIBM, page 3118-3124. IEEE, (2023)Editorial: Computational miRNomics., and . J. Integr. Bioinform., (2016)One-Class SVMs for Document Classification., and . J. Mach. Learn. Res., (2001)Recursive Cluster Elimination based Rank Function (SVM-RCE-R) implemented in KNIME., , , , , and . F1000Research, (2020)Feature Selection for MicroRNA Target Prediction - Comparison of One-Class Feature Selection Methodologies., , and . BIOINFORMATICS, page 216-225. SciTePress, (2016)In Silico Validation of ncRNA-ncRNA Interaction Sites with ncRNAs Represented by k-mers Features., , and . BIOINFORMATICS, page 168-173. SciTePress, (2019)978-989-758-353-7.Ensemble Clustering Based Dimensional Reduction., and . DEXA Workshops, volume 903 of Communications in Computer and Information Science, page 115-125. Springer, (2018)SVM-RCE-R-OPT: Optimization of Scoring Function for SVM-RCE-R., , and . DEXA Workshops, volume 1479 of Communications in Computer and Information Science, page 215-224. Springer, (2021)Classification and biomarker identification using gene network modules and support vector machines., , , , and . BMC Bioinform., (2009)Learning from positive examples when the negative class is undetermined- microRNA gene identification., , , and . Algorithms Mol. Biol., (2008)