Martin Hofmann-Apitius

Germany

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Articles (17)

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2021

Collaborators (10)

Reagon Karki

Fraunhofer Institute for Translational Medicine and Pharmacology

GERMANY

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Lisa Kühnel

Pharmaceuticals and Medical Devices Agency

GERMANY

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Etienne Maheux

Institut du Cerveau et de la Moelle Épinière

FRANCE

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Charles Hoyt

Northeastern University

UNITED STATES

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Juliane Fluck

Professor Information Management

University of Bonn

GERMANY

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Philip Gribbon

ITMP Head Discovery Research

Fraunhofer-Gesellschaft

GERMANY

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Benjamin Gyori

Northeastern University

UNITED STATES

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Tamara Raschka

GERMANY

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Marc Jacobs

deputy head of department

Fraunhofer-Gesellschaft

GERMANY

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Stanley Durrleman

Inria, the French national research institute for the digital sciences

FRANCE

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Martin Hofmann-Apitius

Research Interests

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Articles (17)

KGG: a fully automated workflow for creating disease-specific knowledge graphs

Unraveling the co-morbidity between COVID-19 and neurodegenerative diseases through multi-scale graph analysis: A systematic investigation of biological databases and text mining

Dataset of miRNA–disease relations extracted from textual data using transformer-based neural networks

Exploring SureChEMBL from a drug discovery perspective

SynDRep: a synergistic partner prediction tool based on knowledge graph for drug repurposing

Rationalism in the face of GPT hypes: Benchmarking the output of large language models against human expert-curated biomedical knowledge graphs

Forecasting individual progression trajectories in Alzheimer’s disease

PEMT: a patent enrichment tool for drug discovery

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

STonKGs: A Sophisticated Transformer Trained on Biomedical Text and Knowledge Graphs.

Critical assessment of transformer-based AI models for German clinical notes

On the influence of several factors on pathway enrichment analysis

GuiltyTargets: Prioritization of Novel Therapeutic Targets With Network Representation Learning

Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signatures

Towards a global investigation of transcriptomic signatures through co-expression networks and pathway knowledge for the identification of disease mechanisms

DecoPath: a web application for decoding pathway enrichment analysis

COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology

Collaborators (10)

Reagon Karki

Lisa Kühnel

Etienne Maheux

Charles Hoyt

Juliane Fluck

Philip Gribbon

Benjamin Gyori

Tamara Raschka

Marc Jacobs

Stanley Durrleman

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