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Biological classification with RNA-Seq data: Can alternative splicing enhance machine learning classifier?
Nathan T. Johnson, Andi Dhroso, Katelyn J. Hughes, View ORCID ProfileDmitry Korkin
doi: https://doi.org/10.1101/146340
Nathan T. Johnson
1Worcester Polytechnic Institute, Bioinformatics and Computational Biology Program, Worcester, MA 01609
Andi Dhroso
1Worcester Polytechnic Institute, Bioinformatics and Computational Biology Program, Worcester, MA 01609
Katelyn J. Hughes
1Worcester Polytechnic Institute, Bioinformatics and Computational Biology Program, Worcester, MA 01609
Dmitry Korkin
1Worcester Polytechnic Institute, Bioinformatics and Computational Biology Program, Worcester, MA 01609
2Worcester Polytechnic Institute, Department of Computer Science, Worcester, MA 01609
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Posted June 18, 2017.
Biological classification with RNA-Seq data: Can alternative splicing enhance machine learning classifier?
Nathan T. Johnson, Andi Dhroso, Katelyn J. Hughes, Dmitry Korkin
bioRxiv 146340; doi: https://doi.org/10.1101/146340
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