Author

William C Bastian

University of Georgia

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 Cancer Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:spatial domain detection· 2 Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Eugene F. DouglassiD· 3 shared Caitlin A Morris· 1 shared E. Aubrey ThompsoniD· 1 shared Jane Lowe MeiseliD· 1 shared Ji‐Hoon LeeiD· 1 shared Jonathan Paul MocheliD· 1 shared Lyra M. Griffiths· 1 shared Meili Aiello· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersSystems Biology

Eugene F. DouglassORCID

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3 papers

Recent·Most cited

A Comprehensive Mathematical Model of Avidity in Cytokine Signaling

Eugene F. Douglass, William C Bastian, Jonathan Paul Mochel

The paper develops a mathematical model of cytokine signaling avidity, showing how receptor abundance and binding affinity influence potency across cell types and tissues.

bioRxiv · Aug 28, 2026 · PreprintSystems Biology

Spatial Logic Reconciles Gene-signature Methods in Triple Negative Breast Cancer

William C Bastian, Jane Lowe Meisel, Ji‐Hoon Lee, Nada Shaker, Lyra M. Griffiths, Meili Aiello, Zachary S. Buchwald, Yi Liu, E. Aubrey Thompson, Zaibo Li, Eugene F. Douglass, Xiaoxian Li

This study compares immune cell deconvolution and cancer subtype gene signatures in TNBC, finding that immune aggregates better predict outcomes than subtype signatures.

bioRxiv · Aug 18, 2026 · PreprintCancer Biology

AnchorR: A QuPath and R interface for collaborative exploration of spatial transcriptomics and histology

Caitlin A Morris, William C Bastian, YAN CUI, Zoya Kurago, Eugene F. Douglass

AnchorR improves spatial alignment between H&E images and CosMx data by combining expert-defined landmarks, reducing landmark error from 121.5 m to 14.6 m.

bioRxiv · Aug 11, 2026 · PreprintBioinformatics