Author

Joel Nulsen

ORCID 0000-0001-7318-8209Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Christopher YauiD· 2 shared Ahmed A. AhmediD· 1 shared Amro Ahmed-EbbiaryiD· 1 shared Aneesh Aggarwal· 1 shared Aws Al-DekaiD· 1 shared Breeshey Roskams-HieteriD· 1 shared Damjan TemelkovskiiD· 1 shared Elizabeth FoxalliD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 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

2 shared papersImmunology

Christopher YauORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

ImmunologybioRxivPreprintJun 30, 2025

Single cell functional immunogenomics of the fallopian tube reveals a precursor immune surveillance network for ovarian cancer prevention

Luyao Wang, Breeshey Roskams-Hieter, Nosheen Hussain…·Ahmed A. Ahmed

The paper uses single-cell sequencing to show that immune cells in the fallopian tube share clonotypes with ovarian cancer tumors, suggesting a role in early immune surveillance.

1 citation

humanscRNA-seq

𝕏 PostBluesky

Cancer BiologybioRxivPreprintOct 17, 2018

Patient-specific detection of cancer genes reveals recurrently perturbed processes in esophageal adenocarcinoma

Thanos P. Mourikis, Lorena Benedetti, Elizabeth Foxall…·on behalf of the Oesophageal Cancer Clinical and Molecular Stratification (OCCAMS) Consortium

This study identifies patient-specific cancer genes in esophageal adenocarcinoma using machine learning, revealing recurrent process perturbations that suggest therapeutic targets.

DOI 10.1101/321612

humanwhole-exome sequencing

𝕏 PostBluesky