Author

Jingyu Fan

University of Pittsburgh

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· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Harinder SinghiD· 2 shared Nicholas A. PeaseiD· 2 shared Aditi U. GurkariD· 1 shared Akanksha SachaniD· 1 shared Alayna Fu· 1 shared Ankur Singh SainiiD· 1 shared Greg M. DelgoffeiD· 1 shared Jishnu DasiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersImmunology

Harinder SinghORCID

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Author profile →

2 papers

Recent·Most cited

Sequential and coordinated control of human plasma cell differentiation by IRF4 and BLIMP1 associated with a discriminating ISRE/EICE motif lexicon

Louis Lau, Sneha Lal, Jingyu Fan, Nicholas A. Pease, Harinder Singh

This study identifies an ISRE/EICE motif lexicon that distinguishes IRF4 and BLIMP1 binding during plasma cell differentiation, revealing a temporally ordered regulatory mechanism.

bioRxiv · Oct 5, 2026 · PreprintImmunology

Interpretable machine learning coupled to gene regulatory networks uncovers subcircuits underlying cell fate decisions

Zarifeh Heidari Rarani, Swapnil Keshari, Akanksha Sachan, Ankur Singh Saini, Nicholas A. Pease, Jingyu Fan, Alayna Fu, Yuchen C Liu, Aditi U. Gurkar, Greg M. Delgoffe, Harinder Singh, Jishnu Das

FOCAL couples interpretable machine learning with gene regulatory networks to identify regulatory subnetworks underlying cell fate decisions in B and T cells.

bioRxiv · Sep 29, 2026 · PreprintSystems Biology