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Hawe, J. et al.: Reconstructing regulatory networks from multi-omics data using prior information. Poster: RECOMB 2019, 4-8 May 2019, Washington D.C.. (2019)
Adriaens, M.E.* et al.: Systems genetics approaches in rat identify novel genes and gene networks associated with cardiac conduction. J. Am. Heart Assoc. 7:e009243 (2018)
Fröhlich, F. et al.: Efficient parameter estimation enables the prediction of drug response using a mechanistic pan-cancer pathway model. Cell Syst. 7, 567-579 (2018)
Heinig, M.: Using gene expression to annotate cardiovascular GWAS loci. Front. Cardiovasc. Med. 5:59 (2018)
Simon, L. et al.: MetaMap: An atlas of metatranscriptomic reads in human disease-related RNA-seq data. GigaScience 7, 1-8 (2018)
Vollmar, C.* ; Stredl, I.* ; Heinig, M. ; Noachtar, S.* & Rémi, J.*: Unilateral temporal interictal epileptiform discharges correctly predict the epileptogenic zone in lesional temporal lobe epilepsy. Epilepsia 59, 1577-1582 (2018)
Yan, X.* et al.: Cadm2 regulates body weight and energy homeostasis in mice. Mol. Metab. 8, 180-188 (2018)
Davari, K. et al.: Rapid genome-wide recruitment of RNA polymerase II drives transcription, splicing, and translation events during T cell responses. Cell Rep. 19, 643-654 (2017)
Heinig, M. et al.: Natural genetic variation of the cardiac transcriptome in non-diseased donors and patients with dilated cardiomyopathy. Genome Biol. 18:170 (2017)
Maatz, H.* et al.: Epigenetics and control of RNAs. Methods Mol. Biol. 1488, 217-237 (2017)
McDermott-Roe, C.* et al.: Transcriptome-wide co-expression analysis identifies LRRC2 as a novel mediator of mitochondrial and cardiac function. PLoS ONE 12:e0170458 (2017)
Rathjen, T.* et al.: Regulation of body weight and energy homeostasis by neuronal cell adhesion molecule 1. Nat. Neurosci. 20, 1096-1103 (2017)
Budach, S.* ; Heinig, M. & Marsico, A.*: Principles of microRNA regulation revealed through modeling microRNA expression quantitative trait loci. Genetics 203, 1629-1640 (2016)
de Oliveira, K.A.* et al.: A roadmap of constitutive NF-κB activity in Hodgkin lymphoma: Dominant roles of p50 and p52 revealed by genome-wide analyses. Genome Med. 8:28 (2016)
Fröhlich, F. et al.: Large-scale modeling of cancer signaling: Mechanistic modeling meets Big Data. Eur. J. Cancer 68, S44-S44 (2016)
Ojeda, F.M.* et al.: Comparison of cox model methods in a low-dimensional setting with few events. Geno. Prot. Bioinfo. 14, 235-243 (2016)
van der Harst, P.* et al.: 52 Genetic loci influencing myocardial mass. J. Am. Coll. Cardiol. 68, 1435-1448 (2016)
Marenholz, I.* et al.: Meta-analysis identifies seven susceptibility loci involved in the atopic march. Nat. Commun. 6:8804 (2015)