Preprints

Preprints by the MLCB lab.

2022

SIMBSIG: Similarity search and clustering for biobank-scale data

Michael F. Adamer, Eljas Roellin, Lucie Bourguignon, and Karsten Borgwardt
biorXiv 2022.09.22.509063
external pageOnline 

Unsupervised Manifold Alignment with Joint Multidimensional Scaling

Dexiong Chen, Bowen Fan, Carlos Oliver, and Karsten Borgwardt
arXiv:2207.02968
external pageOnline 

Approximate Network Motif Mining Via Graph Learning

Carlos Oliver, Dexiong Chen, Vincent Mallet, Pericles Philippopoulos, and Karsten Borgwardt
arXiv:2206.01008
external pageOnline   

Improved MALDI-TOF MS based antimicrobial resistance prediction through hierarchical stratification

Caroline Weis, Bastian Rieck, Sebastian Balzer, Aline Cuénod, Adrian Egli, and Karsten Borgwardt
biorXiv 2022.04.13.488198
external pageOnline 

Downregulating α-synuclein in iPSC-derived dopaminergic neurons mimics electrophysiological phenotype of the A53T mutation

Philipp Hornauer, Gustavo Prack, Nadia Anastasia, Silvia Ronchi, Taehoon Kim, Christian Donner, Michele Fiscella, Karsten Borgwardt, Verdon Taylor, Ravi Jagasia, Damian Roqueiro, Andreas Hierlemann, and Manuel Schroeter
bioRxiv 2022.03.31.486582
external pageOnline 

2021

Weisfeiler and Leman go Machine Learning: The Story so far

Christopher Morris, Yaron Lipman, Haggai Maron, Bastian Rieck, Nils M. Kriege, Martin Grohe, Matthias Fey, and Karsten Borgwardt
arXiv:2112.09992
external pageOnline

reComBat: Batch effect removal in large-scale, multi-source omics data integration

Michael F. Adamer, Sarah C. Brüningk, Alejandro Tejada-Arranz, Fabienne Estermann, Marek Basler, and Karsten M. Borgwardt
bioRxiv 2021.11.22.469488
external pageOnline 

networkGWAS: A network-based approach for genome-wide association studies in structured populations

Giulia Muzio, Leslie O’Bray, Laetitia Meng-Papaxanthos, Juliane Klatt, and Karsten Borgwardt
bioRxiv 2021.11.11.468206
external pageOnline  

The magnitude vector of images

Michael F. Adamer, Leslie O'Bray, Edward De Brouwer, Bastian Rieck, and Karsten Borgwardt
arXiv:2110.15188
external pageOnline  

Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning

Michael Moor, Nicolas Bennet, Drago Plecko, Max Horn, Bastian Rieck, Nicolai Meinshausen, Peter Bühlmann, and Karsten Borgwardt
arXiv:2107.05230
external pageOnline   

2020

Path Imputation Strategies for Signature Models of Irregular Time Series

Michael Moor, Max Horn, Christian Bock, Karsten Borgwardt, and Bastian Rieck
arXiv:2005.12359
external pageOnline   

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