Author

James Jeffry Howbert

University of WashingtonORCID 0000-0002-4842-262XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:ChIP-seq· 1 Assay:DNA methylation· 1 Organism:human· 1 Research Focus:imputation· 1 Assay:proteomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

William Stafford NobleiD· 2 shared Andy LiniD· 1 shared Jeff BilmesiD· 1 shared Maxwell W. LibbrechtiD· 1 shared Timothy DurhamiD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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2 shared papersBioinformatics

William Stafford NobleORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Proteome ResearchPeer-reviewedSep 17, 2018

Combining high resolution and exact calibration to boost statistical power: A well-calibrated score function for high-resolution MS2 data

Andy Lin, James Jeffry Howbert, William Stafford Noble

The paper introduces a well-calibrated score function for high-resolution MS2 data that improves statistical power and outperforms existing search engines.

21 citations

proteomicsstatistical model

𝕏 PostBluesky

BioinformaticsNature CommunicationsPeer-reviewedApr 11, 2018

PREDICTD: PaRallel Epigenomics Data Imputation With Cloud-based Tensor Decomposition

Timothy Durham, Maxwell W. Libbrecht, James Jeffry Howbert…·William Stafford Noble

PREDICTD imputes missing epigenomics experiments using tensor decomposition, improving accuracy over existing methods and enabling analysis of enhancer biology in non-coding human regions.

76 citationstop 5%

humanChIP-seq

𝕏 PostBluesky