Author

Katelyn J. Hughes

Worcester Polytechnic Institute

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Bioinformatics· 1

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Organism:multiple species· 1

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Andi DhrosoiD· 1 shared Dmitry KorkiniD· 1 shared Nathan T. JohnsoniD· 1 shared

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2018-2018 · peak 1/yr

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Andi DhrosoORCID

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1 paper

Recent·Most cited

Biological classification with RNA-Seq data: Can alternative splicing enhance machine learning classifier?

Nathan T. Johnson, Andi Dhroso, Katelyn J. Hughes, Dmitry Korkin

This study evaluates if isoform-level RNA-Seq data improves supervised machine learning performance in biological classification tasks compared to gene-level data.

RNA · Jun 25, 2018Peer-reviewedBioinformatics