Author

Jonathan Alexander Heiss

Icahn School of Medicine at Mount SinaiORCID 0000-0003-1448-2509Unclaimed 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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Assay:DNA methylation· 2 Approach:statistical model· 2 Research Focus:deconvolution· 1 Organism:human· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Allan C. JustiD· 2 shared Bharat ThyagarajaniD· 1 shared Eileen M. CrimminsiD· 1 shared Jessica D. FauliD· 1 shared Jonah FisheriD· 1 shared Kelly M. BakulskiiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Allan C. JustORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 28, 2022

Computational deconvolution of fifteen leukocyte subtypes from DNA methylation microarrays trained on flow cytometry data in the Health and Retirement Study

Jonathan Alexander Heiss, Kelly M. Bakulski, Bharat Thyagarajan…·Allan C. Just

The paper trains a computational model to deconvolve fifteen leukocyte subtypes from DNA methylation data using flow cytometry data, improving variance explanation and reducing false positives in age studies.

1 citation

humanDNA methylation

𝕏 PostBluesky

BioinformaticsClinical EpigeneticsPeer-reviewedJan 24, 2019

Guidance on filtering DNA methylation microarray probes by detection p-values

Jonathan Alexander Heiss, Allan C. Just

The paper provides guidance and software for filtering DNA methylation microarray probes using detection p-values to reduce outliers in epigenome-wide association studies.

77 citations

DNA methylationstatistical model

𝕏 PostBluesky