Key Publications
2026
Multi-view deep learning of highly multiplexed imaging data improves association of cell states with clinical outcomes
Shanza Ayub , Jennifer L Gorman , Edward L Y Chen , Hartland W Jackson , Alina Selega , Kieran R Campbell
Bioinformatics Advances (2026)
2025
Computational design and evaluation of optimal bait sets for scalable proximity proteomics
Vesal Kasmaeifar, Saya Sedighi, Anne-Claude Gingras, Kieran R Campbell
Nature Communications (2025)
Segmentation aware probabilistic phenotyping of single-cell spatial protein expression data
Yuju Lee, Edward L. Y. Chen, Darren C. H. Chan, Anuroopa Dinesh, Somaieh Afiuni-Zadeh, Conor Klamann, Alina Selega, Miralem Mrkonjic, Hartland W Jackson, Kieran R Campbell
Nature Communications (2025)
2024
Beyond benchmarking and towards predictive models of dataset-specific single-cell RNA-seq pipeline performance
C Fang, A Selega, KR Campbell
Genome Biology (2024)
Characterizing the impacts of dataset imbalance on single-cell data integration
Hassaan Maan, Lin Zhang, Chengxin Yu, Michael Geuenich, Kieran R. Campbell, and Bo Wang.
Nature Biotechnology (2024)
The impacts of active and self-supervised learning on efficient annotation of single-cell expression data
MJ Geuenich, D Gong, KR Campbell
Nature Communications (2024)
2023
Multi-objective Bayesian Optimization with Heuristic Objectives for Biomedical and Molecular Data Analysis Workflows
Alina Selega and Kieran R Campbell
Transactions on Machine Learning Research (2023)
2021
Automated assignment of cell identity from single-cell multiplexed imaging and proteomic data.
Geuenich, Michael J; Hou, Jinyu; Lee, Sunyun; Ayub, Shanza; Jackson, Hartland W; Campbell, Kieran R