Author

Steven Skiena

Stony Brook UniversityORCID 0000-0003-0397-7514Unclaimed 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 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:Ribo-seq· 1 Approach:statistical model· 1 Organism:yeast· 1

Frequent Co-Authors

Alisa YurovskyiD· 1 shared Bruce FutcheriD· 1 shared Justin GardiniD· 1 shared Lilianne Rivka Mujica-ParodiiD· 1 shared Syed Fahad Sultan· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperBioinformatics

Alisa YurovskyORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 6, 2022

A Statistical Detector for Ribosomal Frameshifts and Dual Encodings based on Ribosome Profiling

Alisa Yurovsky, Justin Gardin, Bruce Futcher, Steven Skiena

The paper develops a statistical method to detect programmed ribosomal frameshifts using ribosome profiling data, identifying potential frameshifts in yeast and demonstrating high sensitivity.

5 citations

yeastRibo-seq

𝕏 PostBluesky

NeuroscienceIEEE International Conference on Bioinformatics and Biomedicine (BIBM)Peer-reviewedDec 9, 2021

Neuropredictome: a data-driven predictome for cognitive, psychiatric, medical, and lifestyle factors on the brain

Syed Fahad Sultan, Lilianne Rivka Mujica-Parodi, Steven Skiena

NeuroPredictome uses machine learning on UK-Biobank data to identify neurological links between brain imaging and diverse phenotypes, showing equal associations with physical/lifestyle factors as cognitive factors.

1 citation

humanimaging

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