Modifying Microarray Analysis Methods for Categorical Data - SAM and PAM for SNPs. - Holger Schwender (GfKl, 2004)

Detecting high-order interactions of single nucleotide polymorphisms using genetic programming. - Robin Nunkesser; Thorsten Bernholt; Holger Schwender; Katja Ickstadt; Ingo Wegener (Bioinform., 2007)

Statistical analysis of genotype and gene expression data - Holger Schwender (2007)

Empirical Bayes analysis of single nucleotide polymorphisms. - Holger Schwender; Katja Ickstadt (BMC Bioinform., 2008)

Integrated analysis of copy number alterations and gene expression: a bivariate assessment of equally directed abnormalities. - Martin Schäfer; Holger Schwender; Sylvia Merk; Claudia Haferlach; Katja Ickstadt; Martin Dugas (Bioinform., 2009)

Methods for Identifying SNP Interactions: A Review on Variations of Logic Regression, Random Forest and Bayesian Logistic Regression. - Carla C. M. Chen; Holger Schwender; Jonathan M. Keith; Robin Nunkesser; Kerrie L. Mengersen; Paula E. Macrossan (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Fast detection of de novo copy number variants from SNP arrays for case-parent trios. - Robert B. Scharpf; Terri H. Beaty; Holger Schwender; Samuel G. Younkin; Alan F. Scott; Ingo Ruczinski (BMC Bioinform., 2012)

rbamtools: an R interface to samtools enabling fast accumulative tabulation of splicing events over multiple RNA-seq samples. - Wolfgang Kaisers; Heiner Schaal; Holger Schwender (Bioinform., 2015)

A Bayesian mixture model to quantify parameters of spatial clustering. - Martin Schäfer; Yvonne Radon; Thomas Klein; Sabrina Herrmann; Holger Schwender; Peter J. Verveer; Katja Ickstadt (Comput. Stat. Data Anal., 2015)

A novel crossover operator based on variable importance for evolutionary multi-objective optimization with tree representation. - Swaantje Casjens; Holger Schwender; Thomas Brüning; Katja Ickstadt (J. Heuristics, 2015)

Integrative analysis of multiple genomic variables using a hierarchical Bayesian model. - Martin Schäfer; Hans-Ulrich Klein; Holger Schwender (Bioinform., 2017)

Evaluation of non-negative matrix factorization of grey matter in age prediction. - Deepthi P. Varikuti; Sarah Genon; Aristeidis Sotiras; Holger Schwender; Felix Hoffstaedter; Kaustubh R. Patil; Christiane Jockwitz; Svenja Caspers; Susanne Moebus; Katrin Amunts; Christos Davatzikos; Simon B. Eickhoff (NeuroImage, 2018)

BayMAP: a Bayesian hierarchical model for the analysis of PAR-CLIP data. - Eva-Maria Huessler; Martin Schäfer; Holger Schwender; Pablo Landgraf (Bioinform., 2019)

Bayesian integrative analysis of epigenomic and transcriptomic data identifies Alzheimer's disease candidate genes and networks. - Hans-Ulrich Klein; Martin Schäfer; David A. Bennett; Holger Schwender; Philip L. De Jager (PLoS Comput. Biol., 2020)

Evaluation of tree-based statistical learning methods for constructing genetic risk scores. - Michael Lau; Claudia Wigmann; Sara Kress; Tamara Schikowski; Holger Schwender (BMC Bioinform., 2022)

Confound-leakage: Confound Removal in Machine Learning Leads to Leakage. - Sami Hamdan; Bradley C. Love; Georg G. von Polier; Susanne Weis; Holger Schwender; Simon B. Eickhoff; Kaustubh R. Patil (CoRR, 2022)

logicDT: a procedure for identifying response-associated interactions between binary predictors. - Michael Lau; Tamara Schikowski; Holger Schwender (Mach. Learn., 2024)