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American Journal of Physiology. Endocrinology and Metabolism|January 6, 2026
Predicting Resting Metabolic Rate in healthy adults: A Comparative Analysis Using the enable cohortBeate Brandl, Gloria-Maria Keppner, Quirin Manz, et al.
Genome Biology|September 30, 2018
A comprehensive analysis of 195 DNA methylomes reveals shared and cell-specific features of partially methylated domainsAbdulrahman Salhab, Karl Nordström, Gilles Gasparoni, et al.
Genome Biology|January 25, 2022
sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studiesReza Nasirigerdeh, Reihaneh Torkzadehmahani, Julian Matschinske, et al.
Frontiers in Immunology|March 15, 2021
Spontaneously Resolved Atopic Dermatitis Shows Melanocyte and Immune Cell Activation Distinct From Healthy Control SkinKatharina Rindler, Thomas Krausgruber, Felix M Thaler, et al.
British Journal of Haematology|May 26, 2018
Targeted mutation screening of 292 candidate genes in 38 children with inborn haematological cytopenias efficiently identifies novel disease-causing mutationsLeo Kager, Raúl Jimenez Heredia, Tatjana Hirschmugl, et al.
Molecular Cancer|February 7, 2007
Factor interaction analysis for chromosome 8 and DNA methylation alterations highlights innate immune response suppression and cytoskeletal changes in prostate cancerWolfgang A Schulz, Adrian Alexa, Volker Jung, et al.
Epigenetics & Chromatin|September 17, 2021
Identification of tissue-specific and common methylation quantitative trait loci in healthy individuals using MAGARMichael Scherer, Gilles Gasparoni, Souad Rahmouni, et al.
Neoplasia (New York, N.Y.)|October 26, 2005
Patients with high-grade gliomas harboring deletions of chromosomes 9p and 10q benefit from temozolomide treatmentSilke Wemmert, Ralf Ketter, Jörg Rahnenführer, et al.
Nucleic Acids Research|November 17, 2025
Mapping drug mechanisms with ProteomicsDB: unified omics and cell sensitivity data at scaleMario Picciani, Armin Soleymaniniya, Julian Müller, et al.
Genome Biology|December 15, 2021
Flimma: a federated and privacy-aware tool for differential gene expression analysisOlga Zolotareva, Reza Nasirigerdeh, Julian Matschinske, et al.
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