Author

Brad Gulko

Primary ORCID profile (0000-0001-8366-589X · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Brad GulkoiD1 paper · Cornell University

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:DNA methylation· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Adam SiepeliD· 2 shared Ilan Gronau· 1 shared Melissa J Hubisz· 1 shared Yi-Fei Huang· 1 shared

Activity by Year

2014-2016 · peak 1/yr

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4 top collaborators · 4 mutual co-author links

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2 shared papersGenomics

Adam SiepelORCID

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2 papers

Recent·Most cited

Fast, scalable prediction of deleterious noncoding variants from functional and population genomic data

Yi-Fei Huang, Brad Gulko, Adam Siepel

This paper introduces LINSIGHT, a method that improves prediction of deleterious noncoding variants by combining neural networks and molecular evolution models, outperforming existing methods in identifying disease-associated variants.

bioRxiv · Aug 15, 2016Genomics

Probabilities of Fitness Consequences for Point Mutations Across the Human Genome

Brad Gulko, Ilan Gronau, Melissa J Hubisz, Adam Siepel

The paper introduces fitCons scores to estimate fitness consequences of point mutations across the human genome using functional genomic data and polymorphism patterns, showing improved prediction for cis-regulatory elements.

bioRxiv · Sep 11, 2014Genomics