Marc Jacobs

According to our database, Marc Jacobs authored at least 27 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Curating, Collecting, and Cataloguing Global COVID-19 Datasets for the Aim of Predicting Personalized Risk.

Sepehr Golriz Khatami, Astghik Sargsyan, Maria Francesca Russo, Daniel Domingo-Fernández, Andrea Zaliani, Abish Kaladharan, Priya Sethumadhavan, Sarah Mubeen, Yojana Gadiya, Reagon Karki, Stephan Gebel, Ram Kumar Ruppa Surulinathan, Vanessa Lage-Rupprecht, Saulius Archipovas, Geltrude Mingrone, Marc Jacobs, Carsten Claussen, Martin Hofmann-Apitius, Alpha Tom Kodamullil

Data, 2024

2023

Design of the formalized and integrated Alzheimer's Disease Ontology and its application in retrieving textual data via text mining.

Bide Zhang, Vanessa Lage-Rupprecht, Philipp Wegner, Astghik Sargsyan, Stephan Gebel, Marc Jacobs, Jürgen Klein, Martin Hofmann-Apitius, Alpha Tom Kodamullil

Database J. Biol. Databases Curation, 2023

2022

Common data model for COVID-19 datasets.

Philipp Wegner, Geena Mariya Jose, Vanessa Lage-Rupprecht, Sepehr Golriz Khatami, Bide Zhang, Stephan Springstubbe, Marc Jacobs, Thomas Linden, Cindy Ku, Bruce Schultz, Martin Hofmann-Apitius, Alpha Tom Kodamullil

Bioinform., December, 2022

A hybrid approach unveils drug repurposing candidates targeting an Alzheimer pathophysiology mechanism.

Vanessa Lage-Rupprecht, Bruce Schultz, Justus Dick, Marcin Namysl, Andrea Zaliani, Stephan Gebel, Ole Pless, Jeanette Reinshagen, Bernhard Ellinger, Christian Ebeling, Alexander M. Esser, Marc Jacobs, Carsten Claussen, Martin Hofmann-Apitius

Patterns, 2022

Context mining and graph queries on giant biomedical knowledge graphs.

Jens Dörpinghaus, Andreas Stefan, Bruce Schultz, Marc Jacobs

Knowl. Inf. Syst., 2022

Benchmarking table recognition performance on biomedical literature on neurological disorders.

Tim Adams, Marcin Namysl, Alpha Tom Kodamullil, Sven Behnke, Marc Jacobs

Bioinform., 2022

2021

The COVID-19 Ontology.

Astghik Sargsyan, Alpha Tom Kodamullil, Shounak Baksi, Johannes Darms, Sumit Madan, Stephan Gebel, Oliver Keminer, Geena Mariya Jose, Helena Balabin, Lauren Nicole Delong, Manfred Kohler, Marc Jacobs, Martin Hofmann-Apitius

Bioinform., 2021

2020

Towards context in large scale biomedical knowledge graphs.

Jens Dörpinghaus, Andreas Stefan, Bruce Schultz, Marc Jacobs

CoRR, 2020

Knowledge Detection and Discovery using Semantic Graph Embeddings on Large Knowledge Graphs generated on Text Mining Results.

Jens Dörpinghaus, Marc Jacobs

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

2019

Semantic Knowledge Graph Embeddings for biomedical Research: Data Integration using Linked Open Data.

Jens Dörpinghaus, Marc Jacobs

Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems co-located with 15th International Conference on Semantic Systems (SEMANTiCS 2019), Karlsruhe, Germany, September 9th - to, 2019

2018

Soft document clustering using a novel graph covering approach.

Jens Dörpinghaus, Sebastian Schaaf, Marc Jacobs

BioData Min., 2018

SCAIView - A Semantic Search Engine for Biomedical Research Utilizing a Microservice Architecture.

Jens Dörpinghaus, Jürgen Klein, Johannes Darms, Sumit Madan, Marc Jacobs

Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018), 2018

What was the Question? A Systematization of Information Retrieval and NLP Problems.

Jens Dörpinghaus, Johannes Darms, Marc Jacobs

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

Automated lung tumor detection and diagnosis in CT Scans using texture feature analysis and SVM.

Tim Adams, Jens Dörpinghaus, Marc Jacobs, Volker Steinhage

Proceedings of the Communication Papers of the 2018 Federated Conference on Computer Science and Information Systems, 2018

2017

Document Clustering using a Graph Covering with Pseudostable Sets.

Jens Dörpinghaus, Sebastian Schaaf, Juliane Fluck, Marc Jacobs

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

2012

Large scale chemical patent mining with UIMA and UNICORE.

Alexander Klenner, Sandra Bergmann, Marc Zimmermann, Mathilde Romberg

J. Cheminformatics, 2012

2011

Overview of the TREC 2011 Chemical IR Track.

Mihai Lupu, Jiashu Zhao, Jimmy X. Huang, Harsha Gurulingappa, Juliane Fluck, Marc Zimmermann, Igor V. Filippov, John Tait

Proceedings of The Twentieth Text REtrieval Conference, 2011

2008

Grid-enabled Virtual Screening Against Malaria.

Nicolas Jacq, Jean Salzemann, Florence Jacq, Yannick Legré, Emmanuel Medernach, Johan Montagnat, Astrid Maaß, Matthieu Reichstadt, Horst Schwichtenberg, Mahendrakar Sridhar, Vinod Kasam, Marc Zimmermann, Martin Hofmann, Vincent Breton

J. Grid Comput., 2008

Virtual High Throughput Screening (vHTS) on an Optical High Speed Testbed.

Mohammad Shahid, Wolfgang Ziegler, Vinod Kasam, Marc Zimmermann, Martin Hofmann-Apitius

Proceedings of the Global Healthgrid: e-Science Meets Biomedical Informatics, 2008

2007

Alternative to Consensus ScoringA New Approach Toward the Qualitative Combination of Docking Algorithms.

Antje Wolf, Marc Zimmermann, Martin Hofmann-Apitius

J. Chem. Inf. Model., 2007

Design of New Plasmepsin Inhibitors: A Virtual High Throughput Screening Approach on the EGEE Grid.

Vinod Kasam, Marc Zimmermann, Astrid Maaß, Horst Schwichtenberg, Antje Wolf, Nicolas Jacq, Vincent Breton, Martin Hofmann-Apitius

J. Chem. Inf. Model., 2007

Identification of new drug classification terms in textual resources.

Corinna Kolárik, Martin Hofmann-Apitius, Marc Zimmermann, Juliane Fluck

Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Automatic Recognition of Chemical Images.

María-Elena Algorri, Marc Zimmermann, Martin Hofmann-Apitius

Proceedings of the Eight Mexican International Conference in Current Trends in Computer Science, 2007

2006

Integration and mining of malaria molecular, functional and pharmacological data: how far are we from a chemogenomic knowledge space?

L.-M. Birkholtz, Olivier Bastien, Gordon Wells, D. Grando, F. Joubert, Vinod Kasam, Marc Zimmermann, Philippe Ortet, Nicolas Jacq, Sylvaine Roy, Martin Hofmann-Apitius, Vincent Breton, A. I. Louw, Eric Maréchal

CoRR, 2006

Large Scale In Silico Screening on Grid Infrastructures

Nicolas Jacq, Vincent Breton, Hsin-Yen Chen, Li-Yung Ho, Martin Hofmann, Hurng-Chun Lee, Yannick Legré, Simon C. Lin, Astrid Maaß, Emmanuel Medernach, Ivan Merelli, Luciano Milanesi, Giulio Rastelli, Matthieu Reichstadt, Jean Salzemann, Horst Schwichtenberg, Mahendrakar Sridhar, Vinod Kasam, Ying-Ta Wu, Marc Zimmermann

CoRR, 2006

Demonstration of In Silico Docking at a Large Scale on Grid Infrastructure.

Nicolas Jacq, Jean Salzemann, Yannick Legré, Matthieu Reichstadt, Florence Jacq, Marc Zimmermann, Astrid Maaß, Mahendrakar Sridhar, Kasam Vinod-Kusam, Horst Schwichtenberg, Martin Hofmann, Vincent Breton

Proceedings of the Challenges and Opportunities of HealthGrids, 2006

Grid-Enabled High Throughput Virtual Screening.

Nicolas Jacq, Vincent Breton, Hsin-Yen Chen, Li-Yung Ho, Martin Hofmann, Hurng-Chun Lee, Yannick Legré, Simon C. Lin, Astrid Maaß, Emmanuel Medernach, Ivan Merelli, Luciano Milanesi, Giulio Rastelli, Matthieu Reichstadt, Jean Salzemann, Horst Schwichtenberg, Mahendrakar Sridhar, Vinod Kasam, Ying-Ta Wu, Marc Zimmermann

Proceedings of the Distributed, 2006