Stefan Bonn

According to our database, Stefan Bonn authored at least 15 papers between 2015 and 2024.

Collaborative distances:

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

2024

A comprehensive comparison of deep learning-based compound-target interaction prediction models to unveil guiding design principles.

Sina Abdollahi, Darius P. Schaub, Madalena Barroso, Nora C. Laubach, Wiebke Hutwelker, Ulf Panzer, S. øren W. Gersting, Stefan Bonn

J. Cheminformatics, December, 2024

2023

Pathogen detection in RNA-seq data with Pathonoia.

Anna-Maria Liebhoff, Kevin Menden, Alena Laschtowitz, Andre Franke, Christoph Schramm, Stefan Bonn

BMC Bioinform., December, 2023

2022

Deep Learning-Based Discrete Calibrated Survival Prediction.

Patrick Fuhlert, Anne Ernst, Esther Dietrich, Fabian Westhaeusser, Karin Kloiber, Stefan Bonn

Proceedings of the IEEE International Conference on Digital Health, 2022

Uncertainty Estimation for Single-cell Label Transfer.

Robin Khatri, Stefan Bonn

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022

2021

Interactive gene networks with KNIT.

Daniel Sumner Magruder, Anna-Maria Liebhoff, Jörn Bethune, Stefan Bonn

Bioinform., 2021

Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network.

Esther Dietrich, Patrick Fuhlert, Anne Ernst, Guido Sauter, Maximilian Lennartz, H. Siegfried Stiehl, Marina Zimmermann, Stefan Bonn

Proceedings of the Machine Learning for Health, 2021

Deep Learning-Based Bias Transfer for Overcoming Laboratory Differences of Microscopic Images.

Ann-Katrin Thebille, Esther Dietrich, Martin Klaus, Lukas Gernhold, Maximilian Lennartz, Christoph Kuppe, Rafael Kramann, Tobias B. Huber, Guido Sauter, Victor G. Puelles, Marina Zimmermann, Stefan Bonn

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

2020

SEAweb: the small RNA Expression Atlas web application.

Raza-Ur Rahman, Anna-Maria Liebhoff, Vikas Bansal, Maksims Fiosins, Ashish Rajput, Abdul Sattar, Daniel Sumner Magruder, Sumit Madan, Ting Sun, Abhivyakti Gautam, Sven Heins, Timur Liwinski, Jörn Bethune, Claudia Trenkwalder, Juliane Fluck, Brit Mollenhauer, Stefan Bonn

Nucleic Acids Res., 2020

Explainable Deep Learning for Augmentation of Small RNA Expression Profiles.

Jelena Fiosina, Maksims Fiosins, Stefan Bonn

J. Comput. Biol., 2020

2019

Explainable Deep Learning for Augmentation of sRNA Expression Profiles.

Jelena Fiosina, Maksims Fiosins, Stefan Bonn

CoRR, 2019

Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles.

Jelena Fiosina, Maksims Fiosins, Stefan Bonn

Proceedings of the Bioinformatics Research and Applications - 15th International Symposium, 2019

2018

Oasis 2: improved online analysis of small RNA-seq data.

Raza-Ur Rahman, Abhivyakti Gautam, Jörn Bethune, Abdul Sattar, Maksims Fiosins, Daniel Sumner Magruder, Vincenzo Capece, Orr Shomroni, Stefan Bonn

BMC Bioinform., 2018

A semantic data integration methodology for translational neurodegenerative disease research.

Sumit Madan, Maksims Fiosins, Stefan Bonn, Juliane Fluck

Proceedings of the 11th International Conference Semantic Web Applications and Tools for Life Sciences, 2018

2017

Root demotion: efficient post-processing of layered graphs to reduce dummy vertices for hierarchical graph drawing.

Daniel Sumner Magruder, Stefan Bonn

J. Graph Algorithms Appl., 2017

2015

Oasis: online analysis of small RNA deep sequencing data.

Vincenzo Capece, Julio C. Garcia Vizcaino, Ramon Vidal, Raza-Ur Rahman, Tonatiuh Pena Centeno, Orr Shomroni, Irantzu Suberviola, André Fischer, Stefan Bonn

Bioinform., 2015