Ola Spjuth

Orcid: 0000-0002-8083-2864

Affiliations:
  • Uppsala University, Sweden


According to our database1, Ola Spjuth authored at least 76 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Data management of scientific applications in a reinforcement learning-based hierarchical storage system.
Expert Syst. Appl., March, 2024

Insights into Drug Cardiotoxicity from Biological and Chemical Data: The First Public Classifiers for FDA Drug-Induced Cardiotoxicity Rank.
J. Chem. Inf. Model., February, 2024

2023
Merging bioactivity predictions from cell morphology and chemical fingerprint models using similarity to training data.
J. Cheminformatics, December, 2023

Evaluating the utility of brightfield image data for mechanism of action prediction.
PLoS Comput. Biol., 2023

2022
Predicting protein network topology clusters from chemical structure using deep learning.
J. Cheminformatics, 2022

SimVec: predicting polypharmacy side effects for new drugs.
J. Cheminformatics, 2022

Scalable federated machine learning with FEDn.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021
Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images.
IEEE J. Biomed. Health Informatics, 2021

Machine Learning Strategies When Transitioning between Biological Assays.
J. Chem. Inf. Model., 2021

Synergy conformal prediction applied to large-scale bioactivity datasets and in federated learning.
J. Cheminformatics, 2021

Assessing the calibration in toxicological in vitro models with conformal prediction.
J. Cheminformatics, 2021

Approaches for containerized scientific workflows in cloud environments with applications in life science.
F1000Research, 2021

Scalable federated machine learning with FEDn.
CoRR, 2021

scConnect: a method for exploratory analysis of cell-cell communication based on single-cell RNA-sequencing data.
Bioinform., 2021

Synergy Conformal Prediction for Regression.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

Synergy conformal prediction.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021

2020
Correction to "Using Predicted Bioactivity Profiles to Improve Predictive Modeling".
J. Chem. Inf. Model., 2020

Using Predicted Bioactivity Profiles to Improve Predictive Modeling.
J. Chem. Inf. Model., 2020

Towards reproducible computational drug discovery.
J. Cheminformatics, 2020

Predicting target profiles with confidence as a service using docking scores.
J. Cheminformatics, 2020

Smart Resource Management for Data Streaming using an Online Bin-packing Strategy.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
On-demand virtual research environments using microservices.
PeerJ Comput. Sci., 2019

SciPipe - Turning Scientific Workflows into Computer Programs.
Comput. Sci. Eng., 2019

Container-based bioinformatics with Pachyderm.
Bioinform., 2019

Interoperable and scalable data analysis with microservices: applications in metabolomics.
Bioinform., 2019

Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2019

Split knowledge transfer in learning under privileged information framework.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2019

2018
Conformal Regression for Quantitative Structure-Activity Relationship Modeling - Quantifying Prediction Uncertainty.
J. Chem. Inf. Model., 2018

Novel applications of Machine Learning in cheminformatics.
J. Cheminformatics, 2018

A confidence predictor for logD using conformal regression and a support-vector machine.
J. Cheminformatics, 2018

Evaluating parameters for ligand-based modeling with random forest on sparse data sets.
J. Cheminformatics, 2018

Efficient iterative virtual screening with Apache Spark and conformal prediction.
J. Cheminformatics, 2018

MaRe: Container-Based Parallel Computing with Data Locality.
CoRR, 2018

Aggregating Predictions on Multiple Non-disclosed Datasets using Conformal Prediction.
CoRR, 2018

KubeNow: an On-Demand Cloud-Agnostic Platform for Microservices-Based Research Environments.
CoRR, 2018

conformalClassification: A Conformal Prediction R Package for Classification.
CoRR, 2018

Conformal prediction in learning under privileged information paradigm with applications in drug discovery.
Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018

2017
Erratum to: The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching.
J. Cheminformatics, 2017

The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching.
J. Cheminformatics, 2017

Large-scale virtual screening on public cloud resources with Apache Spark.
J. Cheminformatics, 2017

E-Science technologies in a workflow for personalized medicine using cancer screening as a case study.
J. Am. Medical Informatics Assoc., 2017

The future of metabolomics in ELIXIR.
F1000Research, 2017

RDFIO: extending Semantic MediaWiki for interoperable biomedical data management.
J. Biomed. Semant., 2017

KubeNow: A Cloud Agnostic Platform for Microservice-Oriented Applications.
Proceedings of the 2017 Imperial College Computing Student Workshop, 2017

SNIC Science Cloud (SSC): A National-Scale Cloud Infrastructure for Swedish Academia.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

Prediction of Metabolic Transformations using Cross Venn-ABERS Predictors.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017

2016
XMetDB: an open access database for xenobiotic metabolism.
J. Cheminformatics, 2016

Towards agile large-scale predictive modelling in drug discovery with flow-based programming design principles.
J. Cheminformatics, 2016

Large-scale ligand-based predictive modelling using support vector machines.
J. Cheminformatics, 2016

2015
Scaling Predictive Modeling in Drug Development with Cloud Computing.
J. Chem. Inf. Model., 2015

Interpretation of Conformal Prediction Classification Models.
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

Conformal Prediction in Spark: Large-Scale Machine Learning with Confidence.
Proceedings of the 2nd IEEE/ACM International Symposium on Big Data Computing, 2015

2014
Ligand-Based Target Prediction with Signature Fingerprints.
J. Chem. Inf. Model., 2014

Benchmarking Study of Parameter Variation When Using Signature Fingerprints Together with Support Vector Machines.
J. Chem. Inf. Model., 2014

HTSeq-Hadoop: Extending HTSeq for Massively Parallel Sequencing Data Analysis Using Hadoop.
Proceedings of the 10th IEEE International Conference on e-Science, 2014

Data Integration between Swedish National Clinical Health Registries and Biobanks Using an Availability System.
Proceedings of the Data Integration in the Life Sciences - 10th International Conference, 2014

2013
The ChEMBL database as linked open data.
J. Cheminformatics, 2013

Applications of the InChI in cheminformatics with the CDK and Bioclipse.
J. Cheminformatics, 2013

Bioclipse-R: integrating management and visualization of life science data with statistical analysis.
Bioinform., 2013

Automated QuantMap for rapid quantitative molecular network topology analysis.
Bioinform., 2013

WhichCyp: prediction of cytochromes P450 inhibition.
Bioinform., 2013

Using Iterative MapReduce for Parallel Virtual Screening.
Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, 2013

2011
Integrated Decision Support for Assessing Chemical Liabilities.
J. Chem. Inf. Model., 2011

Open Data, Open Source and Open Standards in chemistry: The Blue Obelisk five years on.
J. Cheminformatics, 2011

Brunn: An open source laboratory information system for microplates with a graphical plate layout design process.
BMC Bioinform., 2011

Linking the Resource Description Framework to cheminformatics and proteochemometrics.
J. Biomed. Semant., 2011

Services for prediction of drug susceptibility for HIV proteases and reverse transcriptases at the HIV drug research centre.
Bioinform., 2011

2010
Towards interoperable and reproducible QSAR analyses: Exchange of datasets.
J. Cheminformatics, 2010

An eScience-Bayes strategy for analyzing omics data.
BMC Bioinform., 2010

Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using MetaPrint2D and Bioclipse.
BMC Bioinform., 2010

2009
XMPP for cloud computing in bioinformatics supporting discovery and invocation of asynchronous web services.
BMC Bioinform., 2009

Bioclipse 2: A scriptable integration platform for the life sciences.
BMC Bioinform., 2009

2008
Proteochemometric modeling of HIV protease susceptibility.
BMC Bioinform., 2008

The <i>C</i><sup>1</sup><i>C</i><sup>2</sup>: A framework for simultaneous model selection and assessment.
BMC Bioinform., 2008

2007
Bioclipse: an open source workbench for chemo- and bioinformatics.
BMC Bioinform., 2007

2006
The LCB Data Warehouse.
Bioinform., 2006


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