Author

Corinne E. Joshu

Johns Hopkins UniversityORCID 0000-0002-5100-172XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Cancer Biology· 1 Genetic & Genomic Medicine· 1 Pathology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 3 Organism:human· 3 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Angelo Michael De MarzoiD· 1 shared Anna E. PrizmentiD· 1 shared Ashley L. KiemeniD· 1 shared Bartholomew StarichiD· 1 shared C. BoothiD· 1 shared Dan E. ArkingiD· 1 shared Daniela PuiuiD· 1 shared Denis WirtziD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperCancer Biology

Angelo Michael De MarzoORCID

Author profile →

3 papers

Recent·Most cited

Cancer BiologyModern PathologyPeer-reviewedAug 12, 2026

Subclonal Complete Loss of CDKN1B as a Common Genomic Alteration in Prostate Cancer: Associations with Race and Prostate Cancer Outcomes

Karen Sandell Sfanos, Rebecca Morton, Julia Flores…·Angelo Michael De Marzo

The paper examines subclonal complete loss of CDKN1B in prostate cancer, finding higher prevalence in African American individuals and associations with worse outcomes.

DOI 10.1016/j.modpat.2026.101065

humanprotein sequence

Genetic & Genomic MedicineNature CommunicationsPeer-reviewedNov 22, 2024

Mitochondrial heteroplasmy improves risk prediction for myeloid neoplasms

Yun Soo Hong, Sergiu Paşca, Wen Shi…·Lukasz P. Gondek

This study shows that mitochondrial heteroplasmy improves risk prediction for myeloid neoplasms when added to existing CHIP-based models.

14 citationstop 5%

humanDNA methylation

PathologybioRxivPreprintApr 3, 2024

qMAP Enabled Microanatomical Mapping of Human Skin Aging

Kyu Sang Han, Inbal B. Sander, Jacqueline Kumer…·Pei-Hsun Wu

This study introduces qMAP, a deep learning-based workflow for microanatomical mapping of human skin, identifying 10 core processes strongly associated with aging and achieving age prediction accuracy comparable to epigenetic clocks.

7 citations