David J. Harrison

A model of estrogen-related gene expression reveals non-linear effects in transcriptional response to tamoxifen

Azusa Yamaguchi, Galina Lebedeva, Simon P. Langdon, 2012, BMC Systems Biology.

TMA Navigator: network inference, patient stratification and survival analysis with tissue microarray data

David J. Harrison, Alexander L. R. Lubbock, Ian M. Overton, 2013, Nucleic Acids Res..

Monolayer to MTS: using SEM, HIM, TEM and SERS to compare morphology, nanosensor uptake and redox potential in MCF7 cells

Colin Campbell, David J. Harrison, Lauren E. Jamieson, 2015, Biophotonics South America.

Context-based interpolation of coarse deep learning prediction maps for the segmentation of fine structures in immunofluorescence images

Nicolas Brieu, Günter Schmidt, David J. Harrison, 2018, Medical Imaging.

Process-based vs. data-driven modelling of cancer cell behaviour

Michael A. Idowu, James L. Bown, Yusuf Y. Deeni, 2014 .

Characterising the tumour morphological response to therapeutic intervention: an ex vivo model

Ruth E. Falconer, David J. Harrison, Elad Katz, 2012, Disease Models & Mechanisms.

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence

David J. Harrison, Mark Gustavson, D. Harrison, 2011, Journal of visualized experiments : JoVE.

Systems pathology—taking molecular pathology into a new dimension

David J. Harrison, John W. Crawford, J. Crawford, 2009, Nature Reviews Clinical Oncology.

Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model system

V. Anne Smith, Simon P. Langdon, David J. Harrison, 2015 .

Erratum to: Cancer Systems Biology

V. Anne Smith, James L. Bown, Simon P. Langdon, 2010 .

Model-based global sensitivity analysis as applied to identification of anti-cancer drug targets and biomarkers of drug resistance in the ErbB2/3 network

Igor Goryanin, Galina Lebedeva, Simon P. Langdon, 2012, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis

Nicolas Brieu, Günter Schmidt, David J. Harrison, 2019, Scientific Reports.

Customizing the Therapeutic Response of Signaling Networks to Promote Antitumor Responses by Drug Combinations

Simon P. Langdon, David J. Harrison, Alexey Goltsov, 2014, Front. Oncol..