Author

Kimball Hill

Brigham Young UniversityORCID 0000-0001-9331-0777Unclaimed 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· 2 Approach:benchmark study· 1 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Stephen PiccoloiD· 2 shared Brandon J. Fry· 1 shared Erica H. SuhiD· 1 shared Jonathan B. Dayton· 1 shared PJ Tatlow· 1 shared Terry J. Lee· 1 shared Zachary E. Ence· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Stephen PiccoloORCID

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2 papers

Recent·Most cited

ShinyLearner: A containerized benchmarking tool for machine-learning classification of tabular data

Stephen Piccolo, Terry J. Lee, Erica H. Suh, Kimball Hill

ShinyLearner is a tool for benchmarking machine-learning classification algorithms on tabular data, enabling transparent and reproducible comparisons across software packages.

GigaScience · Apr 1, 2020Peer-reviewedBioinformatics

Coordinate-based mapping of tabular data enables fast and scalable queries

Stephen Piccolo, Zachary E. Ence, Kimball Hill, PJ Tatlow, Brandon J. Fry, Jonathan B. Dayton

The paper benchmarks methods for querying large tabular datasets and proposes a coordinate-based, fixed-width storage format for efficient data extraction.

bioRxiv · Jan 31, 2019 · PreprintBioinformatics