Author

Bogdan Done

Henry Ford HealthORCID 0000-0002-7977-3764Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:proteomics· 1

Frequent Co-Authors

Adi Laurentiu TarcaiD· 1 shared Ana C. deCarvalhoiD· 1 shared Ana Valeria CastroiD· 1 shared Andrea D. Transou· 1 shared Anna LasorellaiD· 1 shared Antonio IavaroneiD· 1 shared Bálint PatakiiD· 1 shared Chaur‐Dong HsuiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Adi Laurentiu TarcaORCID

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2 papers

Recent·Most cited

Single-nucleus multiomics unveils malignant cellular states, regulatory architectures and microenvironmental reorganization across the G-CIMP epigenomic transition in IDH-mutant glioma

Grayson A. Herrgott, Luciano Garofano, Natalia S. Morosini, Bogdan Done, Christopher Powell, Ana C. deCarvalho, Laura A. Hasselbach, Andrea D. Transou, Ian Y. Lee, Tobias Walbert, James Snyder, Anna Lasorella, Ana Valeria Castro, Antonio Iavarone, Houtan Noushmehr

The paper integrates single-nucleus RNA and ATAC sequencing to identify cellular states and regulatory networks associated with the G-CIMP epigenomic transition in IDH-mutant gliomas.

bioRxiv · Jun 9, 2026 · PreprintCancer Biology

Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth

Adi Laurentiu Tarca, Bálint Pataki, Roberto J. Romero, Marina Sirota, Yuanfang Guan, Rintu Kutum, Nardhy Gomez‐Lopez, Bogdan Done, Gaurav Bhatti, Thomas Von Yu, Gaia Andreoletti, Tinnakorn Chaiworapongsa, Sonia S. Hassan, Chaur‐Dong Hsu, Nima Aghaeepour, , James C. Costello

The paper develops predictive models for preterm birth using maternal blood multi-omics data, finding transcriptomic and proteomic markers can predict gestational age and spontaneous preterm birth with high accuracy.

Cell Reports Medicine · Jun 1, 2021Peer-reviewedBioinformatics