Author

Melih Elibol

Microsoft (United States)ORCID 0009-0004-3115-6793Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:CRISPR screen· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

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Jennifer ListgarteniD· 1 shared John G. DoenchiD· 1 shared Luong Hoang· 1 shared Michael M. WeinsteiniD· 1 shared Nicolò FusiiD· 1 shared

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2016-2016 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Jennifer ListgartenORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintDec 2, 2016

Predicting off-target effects for end-to-end CRISPR guide design

Jennifer Listgarten, Michael M. Weinstein, Melih Elibol…·Nicolò Fusi

This paper introduces a machine learning model, Elevation, for predicting CRISPR-Cas9 off-target effects, which outperforms existing methods and provides a new evaluation metric.

5 citations

CRISPR screenmachine learning (classical)

𝕏 PostBluesky