Author

Christopher Jon Hanley

University of SouthamptonORCID 0000-0003-3816-7220Unclaimed 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

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

Frequent Co-Authors

Gareth J. ThomasiD· 2 shared Aiman AlzetaniiD· 1 shared Amos StemmeriD· 1 shared Benjamin H. JenkinsiD· 1 shared Chi‐Ping DayiD· 1 shared Christian H. H. OttensmeieriD· 1 shared Danh-Tai HoangiD· 1 shared Eldad David ShulmaniD· 1 shared

Activity by Year

2026-2026 · peak 2/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 papersCancer Biology

Gareth J. ThomasORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Cancer BiologyMolecular OncologyPeer-reviewedMay 27, 2026

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Kamila Bienkowska, Stephany Gallardo, Nur Syafinaz Zainal…·Christopher Jon Hanley

This study identifies developmental programmes driving cellular plasticity in lung adenocarcinoma, linking BM activation to poor prognosis and therapy resistance.

DOI 10.1002/1878-0261.70263

humanbulk RNA-seq

𝕏 PostBluesky

Cancer BiologybioRxivPreprintMay 19, 2026

Histopathology-inferred spatial transcriptomics characterizes the tumor microenvironment in 1,500 head and neck tumors and predicts clinical outcomes

Sumona Biswas, Sumeet Patiyal, T W Chen…·Eytan Ruppin

This paper develops HEiST, a deep learning method to infer spatial transcriptomes from H&E slides, identifies two prognostic Spatiotypes in HNSC, and shows they predict treatment response better than existing biomarkers.

DOI 10.64898/2026.05.16.725687

humanspatial transcriptomics

𝕏 PostBluesky