Author

Samantha Halliday

University of Toronto

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

John ParkinsoniD· 1 shared

Activity by Year

2016-2016 · peak 1/yr

1 paper

Recent·Most cited

Gist: an ensemble approach to the taxonomic classification of metatranscriptomic sequence data.

Samantha Halliday, John Parkinson

Gist improves taxonomic classification of metatranscriptomic data by combining machine learning and alignment methods, achieving high accuracy on synthetic data.

bioRxiv · Oct 28, 2016 · PreprintBioinformatics