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Karsten Borgwardt

Showing results (11-20 of 62) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|August 18, 2020
Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep LearningChristian Bock, Michael Moor, Catherine R Jutzeler, et al.
Bioinformatics (Oxford, England)|July 14, 2020
Prediction of cancer driver genes through network-based moment propagation of mutation scoresAnja C Gumpinger, Kasper Lage, Heiko Horn, et al.
Bioinformatics (Oxford, England)|October 29, 2025
Endowing protein language models with structural knowledgePhilip Hartout, Dexiong Chen, Paolo Pellizzoni, et al.
Bioinformatics (Oxford, England)|October 14, 2017
graphkernels: R and Python packages for graph comparisonMahito Sugiyama, M Elisabetta Ghisu, Felipe Llinares-López, et al.
Bioinformatics (Oxford, England)|June 24, 2020
Network-guided search for genetic heterogeneity between gene pairsAnja C Gumpinger, Bastian Rieck, Dominik G Grimm, et al.
Bioinformatics (Oxford, England)|June 28, 2024
Biomarker identification by interpretable maximum mean discrepancyMichael F Adamer, Sarah C Brüningk, Dexiong Chen, et al.
Bioinformatics (Oxford, England)|December 31, 2020
Enhancing statistical power in temporal biomarker discovery through representative shapelet miningThomas Gumbsch, Christian Bock, Michael Moor, et al.
BMC Genomics|February 28, 2013
Accurate indel prediction using paired-end short readsDominik Grimm, Jörg Hagmann, Daniel Koenig, et al.
Bioinformatics (Oxford, England)|February 16, 2017
Genome-wide genetic heterogeneity discovery with categorical covariatesFelipe Llinares-López, Laetitia Papaxanthos, Dean Bodenham, et al.
Bioinformatics (Oxford, England)|December 13, 2018
CASMAP: detection of statistically significant combinations of SNPs in association mappingFelipe Llinares-López, Laetitia Papaxanthos, Damian Roqueiro, et al.
Pageof 7

Showing results (11-20 of 62) with videos related to

Sort By:
Pageof 7
Methods in Molecular Biology (Clifton, N.J.)|August 18, 2020
Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep LearningChristian Bock, Michael Moor, Catherine R Jutzeler, et al.
Bioinformatics (Oxford, England)|July 14, 2020
Prediction of cancer driver genes through network-based moment propagation of mutation scoresAnja C Gumpinger, Kasper Lage, Heiko Horn, et al.
Bioinformatics (Oxford, England)|October 29, 2025
Endowing protein language models with structural knowledgePhilip Hartout, Dexiong Chen, Paolo Pellizzoni, et al.
Bioinformatics (Oxford, England)|October 14, 2017
graphkernels: R and Python packages for graph comparisonMahito Sugiyama, M Elisabetta Ghisu, Felipe Llinares-López, et al.
Bioinformatics (Oxford, England)|June 24, 2020
Network-guided search for genetic heterogeneity between gene pairsAnja C Gumpinger, Bastian Rieck, Dominik G Grimm, et al.
Bioinformatics (Oxford, England)|June 28, 2024
Biomarker identification by interpretable maximum mean discrepancyMichael F Adamer, Sarah C Brüningk, Dexiong Chen, et al.
Bioinformatics (Oxford, England)|December 31, 2020
Enhancing statistical power in temporal biomarker discovery through representative shapelet miningThomas Gumbsch, Christian Bock, Michael Moor, et al.
BMC Genomics|February 28, 2013
Accurate indel prediction using paired-end short readsDominik Grimm, Jörg Hagmann, Daniel Koenig, et al.
Bioinformatics (Oxford, England)|February 16, 2017
Genome-wide genetic heterogeneity discovery with categorical covariatesFelipe Llinares-López, Laetitia Papaxanthos, Dean Bodenham, et al.
Bioinformatics (Oxford, England)|December 13, 2018
CASMAP: detection of statistically significant combinations of SNPs in association mappingFelipe Llinares-López, Laetitia Papaxanthos, Damian Roqueiro, et al.
Pageof 7