Author

Nicholas Hadas

Washington University in St. Louis

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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Bioinformatics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Ahmed Elgamal· 2 shared Amjad HoraniiD· 2 shared Huihui Xu· 2 shared Shambhawee Neupane· 2 shared Wang Kyaw TwaniD· 2 shared Jeffrey R. KoenitzeriD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersCell Biology

Ahmed Elgamal

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2 papers

Recent·Most cited

Comparative Single-Cell Transcriptomics Uncovers Shared and Distinct Molecular Signatures in Cystic Fibrosis and Primary Ciliary Dyskinesia

Nicholas Hadas, Huihui Xu, Wang Kyaw Twan, Shambhawee Neupane, Ahmed Elgamal, Jeffrey R. Koenitzer, Amjad Horani

This study compares single-cell transcriptomes of Cystic Fibrosis and Primary Ciliary Dyskinesia to identify distinct molecular signatures and pathways.

bioRxiv · Nov 17, 2025 · PreprintCell Biology

Machine Learning Analysis of Cilia-Driven Particle Transport Distinguishes Primary Ciliary Dyskinesia Cilia from Normal Cilia

Nicholas Hadas, Huihui Xu, Shambhawee Neupane, Wang Kyaw Twan, Ahmed Elgamal, Amjad Horani

The paper uses machine learning to analyze cilia-driven particle transport and distinguishes PCD cilia from normal cilia with high accuracy.

bioRxiv · Nov 2, 2025 · PreprintBioinformatics