Author

John L. Spouge

National Institutes of HealthORCID 0000-0001-6207-1419Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:deconvolution· 1 Assay:DNA methylation· 1 Assay:electronic health records· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Barry I. Graubard· 1 shared I. King JordaniD· 1 shared Jim ShawiD· 1 shared Leonardo Mariño‐RamíreziD· 1 shared Manoj S. KambaraiD· 1 shared Martin C. FrithiD· 1 shared Shivam SharmaiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 11 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Barry I. Graubard

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintOct 2, 2024

Increasing Representativeness in the All of Us Cohort Using Inverse Probability Weighting

Manoj S. Kambara, Shivam Sharma, John L. Spouge…·Leonardo Mariño‐Ramírez

The paper develops inverse probability weights to reduce volunteer bias in the All of Us cohort, improving its representativeness and external validity.

6 citations

electronic health recordsstatistical model

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BioinformaticsBioinformaticsPeer-reviewedJan 25, 2023

How to optimally sample a sequence for rapid analysis

Martin C. Frith, Jim Shaw, John L. Spouge

The paper introduces a sequence-sampling method that optimizes sensitivity for sequence comparison and improves specificity for biological DNA.

9 citations

DNA methylationwhole-genome sequencing

𝕏 PostBluesky