Devin P Sullivan
Devin P Sullivan
KTH Royal Institute of Technology
Verified email at scilifelab.se - Homepage
Title
Cited by
Cited by
Year
A subcellular map of the human proteome
PJ Thul, L ┼kesson, M Wiking, D Mahdessian, A Geladaki, HA Blal, T Alm, ...
Science 356 (6340), 2017
8812017
Deep learning is combined with massive-scale citizen science to improve large-scale image classification
DP Sullivan, CF Winsnes, L ┼kesson, M Hjelmare, M Wiking, R Schutten, ...
Nature biotechnology 36 (9), 820-828, 2018
742018
Joint modeling of cell and nuclear shape variation
GR Johnson, TE Buck, DP Sullivan, GK Rohde, RF Murphy
Molecular biology of the cell 26 (22), 4046-4056, 2015
312015
The human secretome
M UhlÚn, MJ Karlsson, A Hober, AS Svensson, J Scheffel, D Kotol, ...
Science signaling 12 (609), 2019
292019
Active machine learning-driven experimentation to determine compound effects on protein patterns
AW Naik, JD Kangas, DP Sullivan, RF Murphy
Elife 5, e10047, 2016
282016
Unbiased rare event sampling in spatial stochastic systems biology models using a weighted ensemble of trajectories
RM Donovan, JJ Tapia, DP Sullivan, JR Faeder, RF Murphy, M Dittrich, ...
PLoS computational biology 12 (2), e1004611, 2016
262016
Analysis of the Human Protein Atlas Image Classification competition
W Ouyang, CF Winsnes, M Hjelmare, AJ Cesnik, L ┼kesson, H Xu, ...
Nature methods 16 (12), 1254-1261, 2019
142019
A subcellular map of the human proteome. Science 356: eaal3321
PJ Thul, L ┼kesson, M Wiking, D Mahdessian, A Geladaki, H Ait Blal, ...
122017
Vitamin D-deficient mice have more invasive urinary tract infection
O Hertting, P LŘthje, D Sullivan, P Aspenstr÷m, A Brauner
PloS one 12 (7), e0180810, 2017
72017
Seeing more: A future of augmented microscopy
DP Sullivan, E Lundberg
Cell 173 (3), 546-548, 2018
62018
Design automation for biological models: a pipeline that incorporates spatial and molecular complexity
DP Sullivan, R Arepally, RF Murphy, JJ Tapia, JR Faeder, M Dittrich, ...
Proceedings of the 25th edition on Great Lakes Symposium on VLSI, 321-323, 2015
62015
SBML Level 3: an extensible format for the exchange and reuse of biological models
SM Keating, D Waltemath, M K÷nig, F Zhang, A Drńger, C Chaouiya, ...
Molecular Systems Biology 16 (8), e9110, 2020
42020
Multi-label prediction of subcellular localization in confocal images using deep neural networks
CF Winsnes, DP Sullivan, K Smith, E Lundberg
Molecular Biology of the Cell 27, 2016
22016
Spatiotemporal dissection of the cell cycle with single-cell proteogenomics
D Mahdessian, AJ Cesnik, C Gnann, F Danielsson, L Akesson, M Arif, ...
bioRxiv, 543231, 2020
12020
Spatiotemporal dissection of the cell cycle regulated human proteome
D Mahdessian, D Sullivan, F Danielsson, M Arif, C Zhang, L ┼kesson, ...
BioRxiv, 543231, 2019
12019
Transcriptome profiling of the interconnection of pathways involved in malignant transformation and response to hypoxia
F Danielsson, E Fasterius, D Sullivan, L Hases, K Sanli, C Zhang, ...
Oncotarget 9 (28), 19730, 2018
12018
Image-derived generative modeling of complex cellular organization in both space and time
DP Sullivan, JR Faeder, GK Rhode, I Sbalzarini
PhD thesis CMU-CB-15-102, Carnegie Mellon University, Pittsburgh, PA, 2015
12015
Spatial processes
JC Schaff, A Lakshminarayana, LP Smith, F Bergmann, DP Sullivan, ...
Technical Report, 2013
12013
Analysis of the Human Protein Atlas Image Classification competition (vol 53, pg 961, 2019)
W Ouyang, CF Winsnes, M Hjelmare, AJ Cesnik, L Akesson, H Xu, ...
NATURE METHODS 17 (9), 948-948, 2020
2020
Author Correction: Analysis of the Human Protein Atlas Image Classification competition
W Ouyang, CF Winsnes, M Hjelmare, AJ Cesnik, L ┼kesson, H Xu, ...
Nature Methods 17 (9), 948-948, 2020
2020
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Articles 1–20