Author

Trevor S. Frisby

Carnegie Mellon UniversityORCID 0000-0002-2865-6955Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Carl KingsfordiD· 1 shared CHRISTOPHER JAMES LANGMEADiD· 1 shared Guillaume MarçaisiD· 1 shared Quang Minh Hoang· 1 shared Shawn James Baker· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Carl KingsfordORCID

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1 paper

Recent·Most cited

HARVESTMAN: A framework for hierarchical featurelearning and selection from whole genome sequencingdata

Trevor S. Frisby, Shawn James Baker, Guillaume Marçais, Quang Minh Hoang, Carl Kingsford, CHRISTOPHER JAMES LANGMEAD

HARVESTMAN is a framework for hierarchical feature learning and selection from whole genome sequencing data, showing improved performance over binary SNP representations in breast cancer classification.

BMC Bioinformatics · Apr 1, 2021Peer-reviewedBioinformatics