Author

Eilon Gabel

University of California, Los AngelesORCID 0000-0002-8148-4590Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:deconvolution· 1 Assay:DNA methylation· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Eran HalperiniD· 2 shared Ira S. HoferiD· 2 shared Aman MahajaniD· 1 shared Brandon JewiD· 1 shared Brian L. HilliD· 1 shared Christine LeeiD· 1 shared Eleazar EskiniD· 1 shared Elior RahmaniiD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

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10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Eran HalperinORCID

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2 papers

Recent·Most cited

Preoperative predictions of in-hospital mortality using electronic medical record data

Brian L. Hill, Robert J. Brown, Eilon Gabel, Nadav Rakocz, Christine Lee, Maxime P. Cannesson, Pierre Baldi, Loes M. Olde Loohuis, Ruth Johnson, Brandon Jew, Uri Maoz, Aman Mahajan, Sriram Sankararaman, Ira S. Hofer, Eran Halperin

This paper develops a machine learning model using EMR data to predict in-hospital mortality preoperatively, achieving higher accuracy than existing clinical scores.

British Journal of Anaesthesia · Oct 15, 2019Peer-reviewedBioinformatics

A Bayesian Framework for Estimating Cell Type Composition from DNA Methylation Without the Need for Methylation Reference

Elior Rahmani, Regev Schweiger, Liat Shenhav, Theodora Wingert, Ira S. Hofer, Eilon Gabel, Eleazar Eskin, Eran Halperin

This paper introduces a Bayesian method to estimate cell type composition from DNA methylation without requiring a methylation reference, showing it can identify individual cell types rather than just linear combinations.

Genome biology · Sep 21, 2018Peer-reviewedBioinformatics