Jochen Kruppa

发表

What statistics instructors need to know about concept acquisition to make statistics stick

J. Kruppa, Jochen Kruppa, 2021 .

No association of vitamin D metabolism-related polymorphisms and melanoma risk as well as melanoma prognosis: a case–control study

C. Berking, I. König, J. Kruppa, 2012, Archives of Dermatological Research.

Coding variation in ANGPTL4, LPL, and SVEP1 and the risk of coronary disease

Dermot F. Reilly, J. Danesh, M. Waldenberger, 2018 .

Loss-of-function mutations in APOC3, triglycerides, and coronary disease.

He Zhang, Thomas Meitinger, Raimund Erbel, 2014, The New England journal of medicine.

Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics

Anne-Laure Boulesteix, Silke Janitza, Jochen Kruppa, 2012, WIREs Data Mining Knowl. Discov..

Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

He Zhang, Thomas Meitinger, Raimund Erbel, 2017, Journal of the American College of Cardiology.

Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function

Jie Huang, Uwe Völker, Ming-Huei Chen, 2017, The Journal of clinical investigation.

Extensive alterations of the whole-blood transcriptome are associated with body mass index: results of an mRNA profiling study involving two large population-based cohorts

Christian Gieger, Thomas Meitinger, Uwe Völker, 2015, BMC Medical Genomics.

University of Dundee Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

Andrew D. Johnson, John D. Eicher, K. Stirrups, 2022 .

Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications

Christian Weimar, Andreas Ziegler, Yufeng Liu, 2014, Biometrical journal. Biometrische Zeitschrift.

Probability Machines

J. D. Malley, J. Kruppa, A. Dasgupta, 2011, Methods of Information in Medicine.

Analyzing Illumina Gene Expression Microarray Data from Different Tissues: Methodological Aspects of Data Analysis in the MetaXpress Consortium

C. Gieger, A. Peters, K. Strauch, 2012, PloS one.

Set-Based Test Procedures for the Functional Analysis of Protein Lists from Differential Analysis.

Klaus Jung, Jochen Kruppa, K. Jung, 2016, Methods in molecular biology.

Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory

M. Kohler, Yufeng Liu, J. Malley, 2014, Biometrical journal. Biometrische Zeitschrift.

Risk estimation and risk prediction using machine-learning methods

I. König, A. Ziegler, J. Kruppa, 2012, Human Genetics.

Consumer credit risk: Individual probability estimates using machine learning

Andreas Ziegler, Jochen Kruppa, Alexandra Schwarz, 2013, Expert Syst. Appl..

kmerPyramid: an interactive visualization tool for nucleobase and k-mer frequencies

Klaus Jung, Jochen Kruppa, Erhard van der Vries, 2017, Bioinform..

Automated multigroup outlier identification in molecular high-throughput data using bagplots and gemplots

Klaus Jung, Jochen Kruppa, K. Jung, 2017, BMC Bioinformatics.

A Simple Test Identifies Selection on Complex Traits

Timothy M. Beissinger, J. Kruppa, H. Simianer, 2018, Genetics.

A simple test identifies selection on complex traits in breeding and experimentally-evolved populations

Timothy M. Beissinger, J. Kruppa, H. Simianer, 2017, bioRxiv.

Evolutionary evidence for multi-host transmission of cetacean morbillivirus

Wendy K. Jo, U. Siebert, T. Kuiken, 2018, Emerging Microbes & Infections.

Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease.

Rajiv, Martina, Raimund, 2016, The New England journal of medicine.

Genome‐wide association study identifies new susceptibility loci for cutaneous lupus erythematosus

J. Kere, I. König, A. Ziegler, 2015, Experimental dermatology.

Crohn’s disease patient serum changes protein expression in a human mesenchymal stem cell model in a linear relationship to patients’ disease stage and to bone mineral density

C. Lenz, J. Kruppa, H. Siggelkow, 2018, Journal of clinical & translational endocrinology.

A comparison study on modeling of clustered and overdispersed count data for multiple comparisons

L. Hothorn, J. Kruppa, Jochen Kruppa, 2020, Journal of applied statistics.

Bioinformatics Analysis of Heterogeneous Data Reveals Characteristic Mutational Landscapes of Neuroblastoma Relapses

Christian W. Remmele, D. Marquard, P. Lindner, 2015 .

Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease.

Dermot F. Reilly, J. Danesh, M. Waldenberger, 2016, The New England journal of medicine.

Consumer credit risk: Individual probability estimates using machine learning

A. Ziegler, G. Arminger, Alexandra Schwarz, 2013, Expert systems with applications.

Risk estimation and risk prediction using machine-learning methods

Andreas Ziegler, Jochen Kruppa, Inke R. König, 2012, Human Genetics.