PuSH - Publication Server of Helmholtz Zentrum München

17 Records found.
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1.
Czamara, D.* et al.: Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns. Nat. Commun. 10:2548 (2019)
2.
Neschen, S. et al.: Impact of brain fatty acid signaling on peripheral insulin action in mice. Exp. Clin. Endocrinol. Diabet. 126, accepted (2018)
3.
Pitea, A. et al.: Copy number aberrations from Affymetrix SNP 6.0 genotyping data-how accurate are commonly used prediction approaches? Brief. Bioinform., accepted (2018)
4.
Budde, M.* et al.: Integrating polygenic allele burden information and phenomic data to characterize complex disease trajectories in severe mental illness. Eur. Neuropsychopharmacol. 27, 3, S406 (2017)
5.
Comes, A.* et al.: Polygenic burden analysis of longitudinal clusters of quality of life and functioning in patients with severe mental illness. Eur. Neuropsychopharmacol. 27, 3, S408-S409 (2017)
6.
Guinney, J.* et al.: Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: Development of a prognostic model through a crowdsourced challenge with open clinical trial data. Lancet Oncol. 18, 132-142 (2017)
7.
Heilbronner, U.* et al.: The Role of micrornas in the course of servere mental disorders. Eur. Neuropsychopharmacol. 27, 3, S456-S457 (2017)
8.
Schulte, E.* et al.: Polygenic burden analysis of longitudinal clusters of psychopathological features in a cross-diagnostic group of individuals with severe mental illness. Eur. Neuropsychopharmacol. 27, 3, S401-S402 (2017)
9.
Seyednasrollah, F.* et al.: A DREAM challenge to build prediction models for short-term discontinuation of docetaxel in metastatic castration-resistant prostate cancer. JCO Clin. Can. Inform. 1, 1-15 (2017)
10.
Kondofersky, I. ; Theis, F.J. & Fuchs, C.: Inferring catalysis in biological systems. IET Syst. Biol. 10, 210-218 (2016)
11.
Kondofersky, I.: Statistical modelling of functional data from biological systems. München, Technische Universität, Fakultät für Mathematik, Diss., 2016, 171 S.
12.
Kondofersky, I. et al.: Three general concepts to improve risk prediction: Good data, wisdom of the crowd, recalibration. F1000 Res. 5:2671 (2016)
13.
Kondofersky, I. ; Fuchs, C. & Theis, F.J.: Identifying latent dynamic components in biological systems. IET Syst. Biol. 9, 193-203 (2015)
14.
Sadic, D.* et al.: Atrx promotes heterochromatin formation at retrotransposons. EMBO Rep. 16, 836-850 (2015)
15.
Stargardt, T.* ; Schreyögg, J. & Kondofersky, I.: Measuring the relationship between costs and outcomes: The example of acute myocardinal infarction in German hospitals. Health Econ. 23, 653-669 (2014)
16.
Wahl, S. et al.: Metabolomics reveals determinants of weight loss during lifestyle intervention in obese children. Catal. Lett. 9, 1157-1167 (2013)
17.
Chursov, A.* et al.: Specific temperature-induced perturbations of secondary mRNA structures are associated with the cold-adapted temperature-sensitive phenotype of influenza A virus. RNA Biol. 9, 1266-1274 (2012)