Author

L. Greenbaum

Emory University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alessia FornoniiD· 1 shared Alicia M. NeuiD· 1 shared Ambarish M. Athavale· 1 shared B. Pode-Shakked· 1 shared Brad A. Godfrey· 1 shared Cheryl L. TraniD· 1 shared Chia-shi WangiD· 1 shared Christine B. SethnaiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperSystems Biology

Alessia FornoniORCID

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2 papers

Recent·Most cited

A Framework for Variant Filtering to Improve Diagnostic Outcomes in Genome Sequencing

R. Birnbaum, K. Lee, Y. Mazor, Y. Unger, S. Yanovsky-Dagan, I. Grundwag, M. Chalk, N. Shaul-Lotan, L. Greenbaum, O. Freireich, T. Klopstock, T. Dror, M. Sebbagh, R. Beeri, O. Murik, , Hagar Mor

This paper introduces a variant filtering framework called SMART filtering to improve diagnostic outcomes in genome sequencing by prioritizing non-coding and regulatory variants.

medRxiv · Nov 9, 2026 · PreprintGenetic & Genomic Medicine

Redefining Nephrotic Syndrome in Molecular Terms: Outcome-associated molecular clusters and patient stratification with noninvasive surrogate biomarkers

Laura Mariani, Sean F. Eddy, Sebastian Martini, Felix H. Eichinger, Brad A. Godfrey, Viji Nair, Sharon G. Adler, Gerry B. Appel, Ambarish M. Athavale, Laura M. C. Barisoni, Elizabeth Brown, Dan C. Cattran, Katherine M. Dell, Vimal Kumar Derebail, Fernando Custodio Fervenza, , Matthias Kretzler

The paper identifies high-risk nephrotic syndrome patients through transcriptome analysis and develops non-invasive biomarkers to predict disease progression.

bioRxiv · Sep 27, 2018 · PreprintSystems Biology