Author

Myung Hee Lee

Cornell UniversityORCID 0000-0002-2909-4421Unclaimed 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 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1

Frequent Co-Authors

Martin T. WellsiD· 2 shared Sumanta BasuiD· 2 shared Andrew G. ClarkiD· 1 shared Sara VenkatramaniD· 1 shared Sofie DelbareiD· 1 shared Steve BrolliD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 12 mutual co-author links

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2 shared papersBioinformatics

Martin T. WellsORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedFeb 27, 2025

PROLONG: Penalized Regression for Outcome guided Longitudinal Omics analysis with Network and Group constraints

Steve Broll, Sumanta Basu, Myung Hee Lee, Martin T. Wells

PROLONG selects metabolites co-varying with tuberculosis mycobacterial load using penalized regression with network and group constraints in longitudinal omics data.

1 citation

metabolomicsstatistical model

𝕏 PostBluesky

GenomicsData Science in SciencePeer-reviewedAug 21, 2023

An Empirical Bayes Approach to Estimating Dynamic Models of Co-regulated Gene Expression

Sara Venkatraman, Sumanta Basu, Andrew G. Clark…·Martin T. Wells

The paper introduces an empirical Bayes method to estimate ODE models of gene expression and derives a biologically-informed similarity metric to identify co-regulated gene clusters.

4 citations

bulk RNA-seqstatistical model

𝕏 PostBluesky