Towards an Electronic Health Prevention Record Based on HL7 FHIR and the OMOP Common Data Model - Markus Falgenhauer; Aaron Lauschensky; Karl Kreiner; Stefan Beyer; Kristina Reiter; Andreas Ziegl; Robert Modre-Osprian; Bernhard Pfeifer; Sabrina B. Neururer; Susanne Krestan; Hanna Wagner; Andreas Huber; et al. (dHealth 2024 - Proceedings of the 18th Health Informatics Meets Digital Health Conference, Vienna, Austria, May 7-8, 2024, 2024)

Accounting for differential variability in detecting differentially methylated regions - Ya Wang; Andrew E. Teschendorff; Martin Widschwendter; Shuang Wang (Briefings Bioinform., 2019)

Stochastic epigenetic outliers can define field defects in cancer - Andrew E. Teschendorff; Allison Jones; Martin Widschwendter (BMC Bioinform., 2016)

A systems-level integrative framework for genome-wide DNA methylation and gene expression data identifies differential gene expression modules under epigenetic control - Yinming Jiao; Martin Widschwendter; Andrew E. Teschendorff (Bioinform., 2014)

The Dynamics of DNA Methylation Covariation Patterns in Carcinogenesis - Andrew E. Teschendorff; Xiaoping Liu; Helena Carén; Steve M. Pollard; Stephan Beck; Martin Widschwendter; Luonan Chen (PLoS Comput. Biol., 2014)

Differential variability improves the identification of cancer risk markers in DNA methylation studies profiling precursor cancer lesions - Andrew E. Teschendorff; Martin Widschwendter (Bioinform., 2012)

A comparison of feature selection and classification methods in DNA methylation studies using the Illumina Infinium platform - Joanna Zhuang; Martin Widschwendter; Andrew E. Teschendorff (BMC Bioinform., 2012)

Independent surrogate variable analysis to deconvolve confounding factors in large-scale microarray profiling studies - Andrew E. Teschendorff; Joanna Zhuang; Martin Widschwendter (Bioinform., 2011)