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Jochen Kruppa

Showing results (1-10 of 67) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|November 1, 2015
Set-Based Test Procedures for the Functional Analysis of Protein Lists from Differential AnalysisJochen Kruppa, Klaus Jung
BMC Bioinformatics|May 4, 2017
Automated multigroup outlier identification in molecular high-throughput data using bagplots and gemplotsJochen Kruppa, Klaus Jung
Journal of Applied Statistics|June 16, 2022
A comparison study on modeling of clustered and overdispersed count data for multiple comparisonsJochen Kruppa, Ludwig Hothorn
Computers in Biology and Medicine|November 14, 2017
A genetic algorithm for simulating correlated binary data from biomedical researchJochen Kruppa, Bernd Lepenies, Klaus Jung
Human Genetics|July 4, 2012
Risk estimation and risk prediction using machine-learning methodsJochen Kruppa, Andreas Ziegler, Inke R König
Statistical Applications in Genetics and Molecular Biology|September 23, 2016
A simulation framework for correlated count data of features subsets in high-throughput sequencing or proteomics experimentsJochen Kruppa, Frank Kramer, Tim Beißbarth, et al.
Clinical Epigenetics|April 30, 2021
Estimands in epigenome-wide association studiesJochen Kruppa, Miriam Sieg, Gesa Richter, et al.
BMC Bioinformatics|February 1, 2020
Detection of suspicious interactions of spiking covariates in methylation dataMiriam Sieg, Gesa Richter, Arne S Schaefer, et al.
BMC Genomics|July 6, 2022
Change point detection for clustered expression dataMiriam Sieg, Lina Katrin Sciesielski, Karin Michaela Kirschner, et al.
European Journal of Anaesthesiology|July 16, 2019
Validation of 3-minute diagnostic interview for CAM-defined Delirium to detect postoperative delirium in the recovery room: A prospective diagnostic studyMaria Olbert, Sophie Eckert, Rudolf Mörgeli, et al.
Pageof 7

Showing results (1-10 of 67) with videos related to

Sort By:
Pageof 7
Methods in Molecular Biology (Clifton, N.J.)|November 1, 2015
Set-Based Test Procedures for the Functional Analysis of Protein Lists from Differential AnalysisJochen Kruppa, Klaus Jung
BMC Bioinformatics|May 4, 2017
Automated multigroup outlier identification in molecular high-throughput data using bagplots and gemplotsJochen Kruppa, Klaus Jung
Journal of Applied Statistics|June 16, 2022
A comparison study on modeling of clustered and overdispersed count data for multiple comparisonsJochen Kruppa, Ludwig Hothorn
Computers in Biology and Medicine|November 14, 2017
A genetic algorithm for simulating correlated binary data from biomedical researchJochen Kruppa, Bernd Lepenies, Klaus Jung
Human Genetics|July 4, 2012
Risk estimation and risk prediction using machine-learning methodsJochen Kruppa, Andreas Ziegler, Inke R König
Statistical Applications in Genetics and Molecular Biology|September 23, 2016
A simulation framework for correlated count data of features subsets in high-throughput sequencing or proteomics experimentsJochen Kruppa, Frank Kramer, Tim Beißbarth, et al.
Clinical Epigenetics|April 30, 2021
Estimands in epigenome-wide association studiesJochen Kruppa, Miriam Sieg, Gesa Richter, et al.
BMC Bioinformatics|February 1, 2020
Detection of suspicious interactions of spiking covariates in methylation dataMiriam Sieg, Gesa Richter, Arne S Schaefer, et al.
BMC Genomics|July 6, 2022
Change point detection for clustered expression dataMiriam Sieg, Lina Katrin Sciesielski, Karin Michaela Kirschner, et al.
European Journal of Anaesthesiology|July 16, 2019
Validation of 3-minute diagnostic interview for CAM-defined Delirium to detect postoperative delirium in the recovery room: A prospective diagnostic studyMaria Olbert, Sophie Eckert, Rudolf Mörgeli, et al.
Pageof 7