| Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discovery NK Speicher, N Pfeifer Bioinformatics 31 (12), i268-i275, 2015 | 182 | 2015 |
| Controlling gene expression with deep generative design of regulatory DNA J Zrimec, X Fu, AS Muhammad, C Skrekas, V Jauniskis, NK Speicher, ... Nature communications 13 (1), 5099, 2022 | 41 | 2022 |
| Data-driven models for predicting microbial water quality in the drinking water source using E. coli monitoring and hydrometeorological data E Sokolova, O Ivarsson, A Lillieström, NK Speicher, H Rydberg, ... Science of the Total Environment 802, 149798, 2022 | 32 | 2022 |
| Bi-Force: large-scale bicluster editing and its application to gene expression data biclustering P Sun, NK Speicher, R Röttger, J Guo, J Baumbach Nucleic acids research 42 (9), e78-e78, 2014 | 23 | 2014 |
| web-rMKL: a web server for dimensionality reduction and sample clustering of multi-view data based on unsupervised multiple kernel learning B Röder, N Kersten, M Herr, NK Speicher, N Pfeifer Nucleic acids research 47 (W1), W605-W609, 2019 | 7 | 2019 |
| Towards multiple kernel principal component analysis for integrative analysis of tumor samples NK Speicher, N Pfeifer Journal of Integrative Bioinformatics 14 (2), 20170019, 2017 | 7 | 2017 |
| Towards the identification of cancer subtypes by integrative clustering of molecular data N Speicher Universität des Saarlandes Saarbrücken, 2012 | 7 | 2012 |
| An interpretable multiple kernel learning approach for the discovery of integrative cancer subtypes NK Speicher, N Pfeifer arXiv preprint arXiv:1811.08102, 2018 | 4 | 2018 |
| Network analysis of viral host factors N Speicher Universität des Saarlandes Saarbrücken, 2010 | 1 | 2010 |
| Unsupervised multiple kernel learning approaches for integrating molecular cancer patient data NK Speicher Saarländische Universitäts-und Landesbibliothek, 2019 | | 2019 |
