Author

Samantha Eidson

Fontbonne University

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

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Organism:bacteria (other)· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

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Andi DhrosoiD· 1 shared Dmitry KorkiniD· 1 shared

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2018-2018 · peak 1/yr

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1 shared paperBioinformatics

Andi DhrosoORCID

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1 paper

Recent·Most cited

BioinformaticsScientific ReportsPeer-reviewedNov 15, 2018

Genome-wide prediction of bacterial effectors across six secretion system types using a feature-based supervised learning framework

Andi Dhroso, Samantha Eidson, Dmitry Korkin

The paper introduces PREFFECTOR, a feature-based supervised learning method to predict bacterial effectors across six secretion systems with high accuracy.

23 citations

bacteria (other)proteomics

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