Author

I. Balboni

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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Immunology· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

P. J. Utz· 2 shared A. Khatri· 1 shared A. Kundaje· 1 shared B. A. Pinsky· 1 shared B. F. Haynes· 1 shared B. Lam· 1 shared C. A. Blish· 1 shared C. Cunningham-Rundles· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersImmunology

P. J. Utz

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Author profile →

2 papers

Recent·Most cited

Disease diagnostics using machine learning of immune receptors

M. E. Zaslavsky, E. Craig, J. K. Michuda, N. Sehgal, N. Ram-Mohan, J.-Y. Lee, K. D. Nguyen, R. A. Hoh, T. D. Pham, K. Röltgen, B. Lam, E. S. Parsons, S. R. Macwana, W. DeJager, E. M. Drapeau, , S. D. Boyd

The paper develops Mal-ID, a machine learning framework using immune receptor data to diagnose diseases, detecting infections, autoimmune disorders, and vaccine responses.

bioRxiv · Apr 26, 2022Immunology

A Unified Molecular Signature of Systemic Lupus Erythematosus Revealed by Integrated, Multi-Cohort Transcriptomic Analysis

W. A. Haynes, D. J. Haddon, V. K. Diep, A. Khatri, E. Bongen, G. Yiu, I. Balboni, C. R. Bolen, R. Mao, P. J. Utz, P. Khatri

This study identifies a 93-gene signature associated with SLE through multi-cohort transcriptomic analysis, showing its clinical relevance and independence from known SLE-related signatures.

bioRxiv · Nov 7, 2019 · PreprintImmunology