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Jan Krumsiek

Showing results (1-10 of 141) with videos related to

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Bioinformatics (Oxford, England)|February 21, 2007
Gepard: a rapid and sensitive tool for creating dotplots on genome scaleJan Krumsiek, Roland Arnold, Thomas Rattei
Bioinformatics (Oxford, England)|September 16, 2021
SGI: automatic clinical subgroup identification in omics datasetsMustafa Buyukozkan, Karsten Suhre, Jan Krumsiek
Metabolites|January 21, 2023
<i>rox</i>: A Statistical Model for Regression with Missing ValuesMustafa Buyukozkan, Elisa Benedetti, Jan Krumsiek
The American Journal of Pathology|September 5, 2022
Authors' ReplyDavid R Price, Elisa Benedetti, Jan Krumsiek
Current Opinion in Biotechnology|May 3, 2016
Computational approaches for systems metabolomicsJan Krumsiek, Jörg Bartel, Fabian J Theis
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|July 28, 2009
Bootstrapping the interactome: unsupervised identification of protein complexes in yeastCaroline C Friedel, Jan Krumsiek, Ralf Zimmer
Computational and Structural Biotechnology Journal|April 2, 2014
Statistical methods for the analysis of high-throughput metabolomics dataJörg Bartel, Jan Krumsiek, Fabian J Theis
Bioinformatics (Oxford, England)|July 19, 2008
ProCope--protein complex prediction and evaluationJan Krumsiek, Caroline C Friedel, Ralf Zimmer
Analytica Chimica Acta|November 29, 2020
Multi-omics integration in biomedical research - A metabolomics-centric reviewMaria A Wörheide, Jan Krumsiek, Gabi Kastenmüller, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|February 20, 2016
Unbiased Prediction and Feature Selection in High-Dimensional Survival RegressionMichael Laimighofer, Jan Krumsiek, Florian Buettner, et al.
Pageof 15

Showing results (1-10 of 141) with videos related to

Sort By:
Pageof 15
Bioinformatics (Oxford, England)|February 21, 2007
Gepard: a rapid and sensitive tool for creating dotplots on genome scaleJan Krumsiek, Roland Arnold, Thomas Rattei
Bioinformatics (Oxford, England)|September 16, 2021
SGI: automatic clinical subgroup identification in omics datasetsMustafa Buyukozkan, Karsten Suhre, Jan Krumsiek
Metabolites|January 21, 2023
<i>rox</i>: A Statistical Model for Regression with Missing ValuesMustafa Buyukozkan, Elisa Benedetti, Jan Krumsiek
The American Journal of Pathology|September 5, 2022
Authors' ReplyDavid R Price, Elisa Benedetti, Jan Krumsiek
Current Opinion in Biotechnology|May 3, 2016
Computational approaches for systems metabolomicsJan Krumsiek, Jörg Bartel, Fabian J Theis
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|July 28, 2009
Bootstrapping the interactome: unsupervised identification of protein complexes in yeastCaroline C Friedel, Jan Krumsiek, Ralf Zimmer
Computational and Structural Biotechnology Journal|April 2, 2014
Statistical methods for the analysis of high-throughput metabolomics dataJörg Bartel, Jan Krumsiek, Fabian J Theis
Bioinformatics (Oxford, England)|July 19, 2008
ProCope--protein complex prediction and evaluationJan Krumsiek, Caroline C Friedel, Ralf Zimmer
Analytica Chimica Acta|November 29, 2020
Multi-omics integration in biomedical research - A metabolomics-centric reviewMaria A Wörheide, Jan Krumsiek, Gabi Kastenmüller, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|February 20, 2016
Unbiased Prediction and Feature Selection in High-Dimensional Survival RegressionMichael Laimighofer, Jan Krumsiek, Florian Buettner, et al.
Pageof 15