Publications

D.P. Sullivan, D. Mahdessian, E. Lundberg (2019) Proteome-scale cell cycle dependent protein dynamics from asynchronous fluorescent microscopy images. (In review).
Wei Ouyang, [et al, including D.P. Sullivan] (2019). Analysis of the Human Protein Atlas Image Classification competition. Nature Methods.
Mathias Uhlén, [et al, including D.P. Sullivan] (2019). The human secretome. Science Signaling.
D.P. Sullivan*, C.F. Winsnes* et al. (2018). Deep learning is combined with massive-scale citizen science to improve large-scale image classification. Nature Biotechnology.
D.P. Sullivan, E. Lundberg (2018). Seeing more: A future of augmented microscopy. Cell.
F. Danielsson, E. Fasterius, D.P. Sullivan, K. Sanli, C. Zhang, A. Mardinoglu, C. Al-Khalili, M. Huss, M. Uhlén, C. Williams, E. Lundberg (2018). Transcriptome profiling of the interconnection of pathways involved in malignant transformation and response to hypoxia. Oncotarget.
Olof Hertting, P. Lüthje, D.P. Sullivan, P. Aspenström, A. Brauner (2017). Vitamin D-deficient mice have more invasive urinary tract infection. PLOS One.
P.J. Thul, L. Åkesson, [et al, including D.P. Sullivan] (2017). A subcellular map of the human proteome. Science.
R. M. Donovan, J.J. Tapia, D.P. Sullivan, J.R. Faeder, R.F. Murphy, M. Dittrich, D.M. Zuckerman (2016). Unbiased Rare Event Sampling in Spatial Stochastic Systems Biology Models Using a Weighted Ensemble of Trajectories. PLOS Computational Biology.
A.W. Naik, J.D. Kangas, D. P. Sullivan, and R. F. Murphy (2016). Active Machine Learning-driven Experimentation to Determine Compound Effects on Protein Patterns. eLife 5:e10047.
G. R. Johnson, T.E. Buck, D. P. Sullivan, G. R. Rohde, and R. F. Murphy (2015) Joint Modeling of Cell and Nuclear Shape Variation. Molecular Biology of the Cell 26: 4046-4056 (Special Issue on Quantitative Biology).
J. C. Schaff, L. Smith, D.P. Sullivan, A. Lakshminarayana, & Frank Bergmann (2015). SBML Level 3 Package Specification – Spatial Processes.

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