Author

Nicole Frahm

ORCID 0000-0003-1298-3676Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Immunology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Justine E. SunshineiD· 2 shared Alberto L. García‐BasteiroiD· 1 shared Alemnew F. DagnewiD· 1 shared Alexander C. SchmidtiD· 1 shared Amelia HouanaiD· 1 shared Amy Çinar· 1 shared Anne WajjaiD· 1 shared Anthony KieferiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersImmunology

Justine E. SunshineORCID

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3 papers

Recent·Most cited

ImmunologyOpen Forum Infectious DiseasesPeer-reviewedJul 1, 2026

Associations Between QuantiFERON-TB Gold Plus IFNγ Concentrations and Progression to Symptomatic Tuberculosis in Global High-Burden TB Settings

Justine E. Sunshine, Michael Shaffer, Linda L. Han…·Alberto L. García‐Basteiro

This study finds higher QuantiFERON-TB Gold Plus IFNγ concentrations are associated with progression to symptomatic TB and meet WHO biomarker thresholds.

DOI 10.1093/ofid/ofag437

humanproteomics

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MicrobiologybioRxivPreprintNov 26, 2025

A Validated Method for Detection of Bifidobacterium infantis Bi-26™ DNA in Stool by Quantitative Real-Time PCR

Markus Godderz, Justine E. Sunshine, Melanie Polke…·Nicole Frahm

This paper validates a qPCR assay for quantifying B. infantis Bi-26 DNA in stool samples, demonstrating robust performance across multiple validation parameters.

1 citation

metagenomicsexperimental assay

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BioinformaticsbioRxivPreprintNov 28, 2022

Common gene signature model discovery and systematic validation for TB prognosis and response to treatment

Roger Vargas, Liam E. Abbott, Nicole Frahm, Wen‐Han Yu

The paper develops a gene signature model for TB prognosis and treatment response using network-based meta-analysis and machine learning, validated across 57 studies with high predictive accuracy.

1 citation

humanbulk RNA-seq

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