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Feature selection for microRNA target prediction comparison of one-class feature selection methodologies
(SciTePress, 2016)
Traditionally, machine learning algorithms build classification models from positive and negative examples. Recently, one-class classification (OCC) receives increasing attention in machine learning for problems where the ...
Preparing sequence databases for application in proteogenomics
(Springer, 2016-02)
[No abstract available]
Database normalization is crucial for reliable protein identification in mass spectrometry-based proteomics
(Springer, 2016-02)
Research in proteomics is driven by mass spectrometry, especially the identification of proteins from complex samples. Computational analysis of the resulting data determines the peptide sequences of the recorded spectra ...
