Manfred Claassen

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 12

Top Topics

Magnetic Resonance Spectroscopy

Structure Learning

Markov Logic Networks

Top Venues

PLoS Comput. Biol.

Frontiers Bioinform.

Publications

Sepideh Babaei, Jonathan Christ, Vivek Sehra, Ahmad Makky, Mohammed Zidane, Kilian Wistuba-Hamprecht, Christian M. Schürch, Manfred Claassen
-CIMA: Supervised spatial single-cell image analysis for identifying disease-associated cell-type compositions in tissue. Patterns 4 (9) (2023)
Mohammed Zidane, Ahmad Makky, Matthias Bruhns, Alexander Rochwarger, Sepideh Babaei, Manfred Claassen, Christian M. Schürch
Corrigendum: A review on deep learning applications in highly multiplexed tissue imaging data analysis. Frontiers Bioinform. 3 (2023)
Mohammed Zidane, Ahmed Al Makky, Matthias Bruhns, Alexander Rochwarger, Sepideh Babaei, Manfred Claassen, Christian M. Schürch
A review on deep learning applications in highly multiplexed tissue imaging data analysis. Frontiers Bioinform. 3 (2023)
Sinem Sav, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Manfred Claassen, Jean-Pierre Hubaux
Privacy-preserving federated neural network learning for disease-associated cell classification. Patterns 3 (5) (2022)
Andreas Kopf, Vincent Fortuin, Vignesh Ram Somnath, Manfred Claassen
Mixture-of-Experts Variational Autoencoder for clustering and generating from similarity-based representations on single cell data. PLoS Comput. Biol. 17 (6) (2021)
Quentin Garrido, Sebastian Damrich, Alexander Jäger, Dario Cerletti, Manfred Claassen, Laurent Najman, Fred A. Hamprecht
Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder. CoRR (2021)
Andreas Kopf, Manfred Claassen
Latent representation learning in biology and translational medicine. Patterns 2 (3) (2021)
Jake P. Taylor-King, Asbjørn Nilsen Riseth, Will Macnair, Manfred Claassen
Dynamic distribution decomposition for single-cell snapshot time series identifies subpopulations and trajectories during iPSC reprogramming. PLoS Comput. Biol. 16 (1) (2020)
Andreas Kopf, Vincent Fortuin, Vignesh Ram Somnath, Manfred Claassen
Mixture-of-Experts Variational Autoencoder for clustering and generating from similarity-based representations. CoRR (2019)
Eirini Arvaniti, Manfred Claassen
Coupling weak and strong supervision for classification of prostate cancer histopathology images. CoRR (2018)
Andreas Kühne, Urs Mayr, Daniel C. Sévin, Manfred Claassen, Nicola Zamboni
Metabolic network segmentation: A probabilistic graphical modeling approach to identify the sites and sequential order of metabolic regulation from non-targeted metabolomics data. PLoS Comput. Biol. 13 (6) (2017)
Anna Klimovskaia, Stefan Ganscha, Manfred Claassen
Sparse Regression Based Structure Learning of Stochastic Reaction Networks from Single Cell Snapshot Time Series. PLoS Comput. Biol. 12 (12) (2016)
Eirini Arvaniti, Manfred Claassen
Markov Network Structure Learning via Ensemble-of-Forests Models. UAI (2014)
Manfred Claassen, Ruedi Aebersold, Joachim M. Buhmann
Proteome Coverage Prediction for Integrated Proteomics Datasets. J. Comput. Biol. 18 (3) (2011)
Manfred Claassen, Ruedi Aebersold, Joachim M. Buhmann
Proteome Coverage Prediction for Integrated Proteomics Datasets. RECOMB (2010)
Manfred Claassen
Design and Validation of Proteome Measurements. Ausgezeichnete Informatikdissertationen (2010)
Manfred Claassen, Ruedi Aebersold, Joachim M. Buhmann
Proteome coverage prediction with infinite Markov models. Bioinform. 25 (12) (2009)