Posters

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Machine Learning Strategies for Assay Transitions
Staffan Arvidsson McShane, Ernst Ahlberg, Tobias Noeske and Ola Spjuth
11th Pharmaceutical Profiling Symposium
27 Jan 2022
10.6084/m9.figshare.19096442.v1
Automating Cell Profiling of Drugs with Cell Painting
Ola Spjuth, Tanya Aggarwal, Polina Georgiev, Anders Larsson and Wesley Schaal
10th Pharmaceutical Profiling Symposium
30 Jan 2020
10.6084/m9.figshare.11777253.v1
Deep dynamical modelling of drug delivery based on microscopy image data
Philip J Harrison, Alan Sabirsh, Håkan Wieslander, Carolina Wählby, Johan Karlsson, Andreas Hellander and Ola Spjuth
PhenoTarget kick-off meeting
13 Jun 2019
10.6084/m9.figshare.9747407.v1
Cloud computing and containerization in Big Data analytics with application in life science
Marco Capuccini, Anders Larsson, Matteo Carone, Jonathan Alvarsson, Arvid Berg, Staffan Arvidsson Mc Shane, Stephanie Herman, Payam Emami, Kim Kultima and Ola Spjuth
The 1st R-CCS International Symposium
18 Feb 2019
Transfer learning with deep convolutional neural networks for classifying cellular morphological changes
Alexander Kensert, Philip J Harrison and Ola Spjuth
Uppsala University Faculty of Pharmacy 50th Anniversary
26 Oct 2018
10.6084/m9.figshare.9747029.v1
Probabilistic Predictions of Metabolism using Venn-Predictors
Staffan Arvidsson Mc Shane, Lars Carlsson, Paolo Toccaceli and Ola Spjuth
Swedish e-Science Academy 2018
17 Oct 2018
10.6084/m9.figshare.7223255
A microservice-based infrastructure for ligand-based modelling
Jonathan Alvarsson, Ernst Ahlberg, Arvid Berg and Ola Spjuth
Swedish e-Science Academy 2018
17 Oct 2018
10.6084/m9.figshare.7223120.v1
MaRe: Leverage Docker and Spark to Scale Any Data Processing Tool in MapReduce Fashion
Marco Capuccini and Ola Spjuth
Swedish e-Science Academy 2018
17 Oct 2018
EasyMapReduce: Leverage Docker and Spark to Scale Any Data Processing Tool in MapReduce Fashion
Marco Capuccini and Ola Spjuth
Swedish e-Science Academy 2016
13 Oct 2016
10.13140/RG.2.2.27151.79527
Dynamic Scientific Workflows in Drug Discovery with Flow-Based Programming Principles
Samuel Lampa, Jonathan Alvarsson and Ola Spjuth
Swedish e-Science Academy 2016
12 Oct 2016
10.13140/RG.2.2.34414.61760
The BridgeDb framework
Egon Willighagen, Jonathan Mélius, Brenninkmeijer Christian, Stian Soiland-Reyes, Anwesha Bohler, Martina Kutmon, Andra Waagmeester, Alex Pico, Anders Riutta, Alasdair Gray, Christ Leemans, Colin Batchelor, Ola Spjuth, Nuno Nunes, Chris Evelo and Carole Goble
15th European Conference on Computational Biology (ECCB)
8 Sep 2016
10.7490/f1000research.1113101.1
Conformal prediction in Spark: Large-Scale Machine Learning with Confidence
Marco Capuccini, Lars Carlsson, Ulf Norinder and Ola Spjuth
2015 IEEE/ACM 2nd Int Symp on Big Data Comp (BDC)
10 Dec 2015
10.13140/RG.2.1.2933.5285
Machine Learning in Drug Discovery
Jonathan Alvarsson, Samuel Lampa, Claes Andersson, Jarl E.S. Wikberg and Ola Spjuth
Swedish e-Science Academy 2015
16 Oct 2015
10.6084/m9.figshare.5235322.v1
Using workflow tools to streamline bioinformatics computing on high-performance e-infrastructures
Samuel Lampa, Jonathan Alvarsson and Ola Spjuth
Swedish e-Science Academy 2015
16 Oct 2015
10.13140/RG.2.1.1143.6246
e-Science enables improved diagnostics of Chronic Myeloid Leukemia (CML) with next-generation sequencing
Wesley Schaal, Adam Ameur and Ola Spjuth
Swedish e-Science Academy 2015
9 Oct 2015
10.6084/m9.figshare.5172388
Large-Scale Virtual Screening with Spark
Valentin Georgiev, Staffan Arvidsson, Laeeq Ahmed, Marco Capuccini, Salman Toor, Wesley Schaal and Ola Spjuth
Swedish e-Science Academy 2015
7 Oct 2015
10.13140/RG.2.2.31574.55367
Bioclipse
Carl Mäsak and Jonathan Alvarsson
8th Swedish Bioinformatics Workshop - Uppsala, Sweden
28 Feb 2008
10.6084/m9.figshare.5306752