PIC-Me: paralogs and isoforms classifier based on machine-learning approaches

Background: Paralogs formed through gene duplication and isoforms formed through alternative splicing have been important processes for increasing protein diversity and maintaining cellular homeostasis. Despite their recognized importance and the advent of large-scale genomic and transcriptomic anal...

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Bibliographic Details
Main Authors:	Lee, S.-G (Author), Oh, J. (Author), Park, C. (Author)
Format:	Article
Language:	English
Published:	BioMed Central Ltd 2021
Subjects:	alternative RNA splicing Alternative splicing Alternative Splicing amino acid sequence area under the curve article Decision trees expressed sequence tag gene duplication Gene duplication Gene duplications Genes genetics genomics Genomics Inverse problems Isoforms isoprotein machine learning Machine learning Machine Learning Machine learning approaches Model organisms molecular genetics Molecular Sequence Annotation Paralogs paralogy Protein Isoforms Proteins random forest Random forest modeling receiver operating characteristic RNA RNA sequencing RNA-seq RNA-Seq sequence alignment Sequence Alignment support vector machine Support vector machines transcriptomics Transcriptomics
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PIC-Me: paralogs and isoforms classifier based on machine-learning approaches

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