Author

Helen J. Huang

University of California, Los AngelesORCID 0000-0002-6308-346XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:fine-mapping· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Alexander HoffmanniD· 1 shared Eleazar EskiniD· 1 shared Farhad HormozdiariiD· 1 shared Haripriya Vaidehi NarayananiD· 1 shared Kodi TaraszkaiD· 1 shared Mark Y. Xiang· 1 shared Nathan LaPierreiD· 1 shared Rosemary HeiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 16 mutual co-author links

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1 shared paperImmunology

Alexander HoffmannORCID

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2 papers

Recent·Most cited

ImmunologyMolecular Systems BiologyPeer-reviewedJun 5, 2025

Synergy and antagonism in the integration of BCR and CD40 signals that control B-cell proliferation

Helen J. Huang, Haripriya Vaidehi Narayanan, Mark Y. Xiang…·Alexander Hoffmann

The paper develops a mathematical model to study how BCR and CD40 signals integrate to control B-cell proliferation and selection, revealing synergistic and antagonistic interactions.

6 citations

humanstatistical model

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BioinformaticsPLoS GeneticsPeer-reviewedSep 20, 2021

Identifying Causal Variants by Fine Mapping Across Multiple Studies

Nathan LaPierre, Kodi Taraszka, Helen J. Huang…·Eleazar Eskin

This paper introduces MsCAVIAR, a method for fine mapping causal variants across multiple GWAS studies, showing it reduces causal set sizes by over 20% in Type 2 Diabetes analysis.

70 citationstop 2%

humanGWAS summary statistics

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