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2020 – today
- 2024
[j14]Michael Lau
, Tamara Schikowski, Holger Schwender:
logicDT: a procedure for identifying response-associated interactions between binary predictors. Mach. Learn. 113(2): 933-992 (2024)- 2022
- [j13]Michael Lau, Claudia Wigmann, Sara Kress, Tamara Schikowski, Holger Schwender:
Evaluation of tree-based statistical learning methods for constructing genetic risk scores. BMC Bioinform. 23(1): 97 (2022) - [i1]Sami Hamdan, Bradley C. Love, Georg G. von Polier, Susanne Weis, Holger Schwender, Simon B. Eickhoff, Kaustubh R. Patil:
Confound-leakage: Confound Removal in Machine Learning Leads to Leakage. CoRR abs/2210.09232 (2022) - 2020
- [j12]Hans-Ulrich Klein, Martin Schäfer, David A. Bennett, Holger Schwender, Philip L. De Jager:
Bayesian integrative analysis of epigenomic and transcriptomic data identifies Alzheimer's disease candidate genes and networks. PLoS Comput. Biol. 16(4) (2020)
2010 – 2019
- 2019
- [j11]Eva-Maria Huessler, Martin Schäfer, Holger Schwender, Pablo Landgraf:
BayMAP: a Bayesian hierarchical model for the analysis of PAR-CLIP data. Bioinform. 35(12): 1992-2000 (2019) - 2018
- [j10]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:
Evaluation of non-negative matrix factorization of grey matter in age prediction. NeuroImage 173: 394-410 (2018) - 2017
- [j9]Martin Schäfer, Hans-Ulrich Klein, Holger Schwender:
Integrative analysis of multiple genomic variables using a hierarchical Bayesian model. Bioinform. 33(20): 3220-3227 (2017) - 2015
- [j8]Wolfgang Kaisers, Heiner Schaal, Holger Schwender:
rbamtools: an R interface to samtools enabling fast accumulative tabulation of splicing events over multiple RNA-seq samples. Bioinform. 31(10): 1663-1664 (2015) - [j7]Martin Schäfer, Yvonne Radon, Thomas Klein, Sabrina Herrmann, Holger Schwender, Peter J. Verveer, Katja Ickstadt:
A Bayesian mixture model to quantify parameters of spatial clustering. Comput. Stat. Data Anal. 92: 163-176 (2015) - [j6]Swaantje Casjens, Holger Schwender, Thomas Brüning, Katja Ickstadt:
A novel crossover operator based on variable importance for evolutionary multi-objective optimization with tree representation. J. Heuristics 21(1): 1-24 (2015) - 2012
- [j5]Robert B. Scharpf, Terri H. Beaty, Holger Schwender, Samuel G. Younkin, Alan F. Scott, Ingo Ruczinski:
Fast detection of de novo copy number variants from SNP arrays for case-parent trios. BMC Bioinform. 13: 330 (2012) - 2011
- [j4]Carla C. M. Chen, Holger Schwender, Jonathan M. Keith, Robin Nunkesser, Kerrie L. Mengersen, Paula E. Macrossan:
Methods for Identifying SNP Interactions: A Review on Variations of Logic Regression, Random Forest and Bayesian Logistic Regression. IEEE ACM Trans. Comput. Biol. Bioinform. 8(6): 1580-1591 (2011)
2000 – 2009
- 2009
- [j3]Martin Schäfer, Holger Schwender, Sylvia Merk, Claudia Haferlach, Katja Ickstadt, Martin Dugas:
Integrated analysis of copy number alterations and gene expression: a bivariate assessment of equally directed abnormalities. Bioinform. 25(24): 3228-3235 (2009) - 2008
- [j2]Holger Schwender, Katja Ickstadt:
Empirical Bayes analysis of single nucleotide polymorphisms. BMC Bioinform. 9 (2008) - 2007
- [b1]Holger Schwender:
Statistical analysis of genotype and gene expression data. Dortmund University, Germany, 2007 - [j1]Robin Nunkesser, Thorsten Bernholt, Holger Schwender, Katja Ickstadt, Ingo Wegener:
Detecting high-order interactions of single nucleotide polymorphisms using genetic programming. Bioinform. 23(24): 3280-3288 (2007) - 2004
- [c1]Holger Schwender:
Modifying Microarray Analysis Methods for Categorical Data - SAM and PAM for SNPs. GfKl 2004: 370-377
Coauthor Index
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