Author

Daniel S. Berman

Cedars-Sinai Medical CenterORCID 0000-0002-3793-9578Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Ali AzizzadehiD· 1 shared Amanda MomenzadehiD· 1 shared Arati Naveen KumariD· 1 shared C. Noel Bairey MerziD· 1 shared Caroline Anne JefferiesiD· 1 shared Daniel J. WallaceiD· 1 shared Dianna M. MilewicziD· 1 shared Dongchuan GuoiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperSystems Biology

Ali AzizzadehORCID

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2 papers

Recent·Most cited

BioinformaticsScientific ReportsPeer-reviewedJan 19, 2025

Alterations in genes associated with cytosolic RNA sensing in whole blood are associated with coronary microvascular disease in SLE

Lihong Huo, Arati Naveen Kumar, Gantsetseg Tumurkhuu…·Caroline Anne Jefferies

The paper identifies gene signatures and pathways associated with coronary microvascular disease in SLE patients through RNA-seq and pathway analysis.

1 citation

humanbulk RNA-seq

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Systems BiologybioRxivPreprintApr 26, 2023

Differentiation between Descending Thoracic Aortic Diseases using Machine Learning and Plasma Proteomic Signatures

Amanda Momenzadeh, Simion D. Kreimer, Dongchuan Guo…·Sarah J. Parker

This paper uses machine learning to differentiate between descending thoracic aortic diseases using plasma proteomic data, identifying key proteins and pathways associated with each condition.

1 citation

humanproteomics

𝕏 PostBluesky