Altenbuchinger, Michael

[["dc.bibliographiccitation.artnumber","014026"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Physical Review. D"],["dc.bibliographiccitation.volume","89"],["dc.contributor.author","Altenbuchinger, Michael"],["dc.contributor.author","Geng, L.-S."],["dc.contributor.author","Weise, W."],["dc.date.accessioned","2021-09-17T09:47:43Z"],["dc.date.available","2021-09-17T09:47:43Z"],["dc.date.issued","2013-09-18"],["dc.description.abstract","Recent lattice QCD simulations of the scattering lengths of Nambu-Goldstone bosons off the $ mesons are studied using unitary chiral perturbation theory. We show that the Lattice QCD data are better described in the covariant formulation than in the heavy-meson formulation. The ^ _{s0}(2317)$ can be dynamically generated from the coupled-channels $ interaction without \\textit{a priori} assumption of its existence. A new renormalization scheme is proposed which manifestly satisfies chiral power counting rules and has well-defined behavior in the infinite heavy-quark mass limit. Using this scheme we predict the heavy-quark spin and flavor symmetry counterparts of the ^ _{s0}(2317)$."],["dc.identifier.arxiv","1309.4743v2"],["dc.identifier.doi","10.1103/PhysRevD.89.014026"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89646"],["dc.relation.issn","1550-7998"],["dc.relation.issn","1550-2368"],["dc.title","Scattering lengths of Nambu-Goldstone bosons off $ mesons and dynamically generated heavy-light mesons"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","390"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Physics Letters. B"],["dc.bibliographiccitation.lastpage","395"],["dc.bibliographiccitation.volume","696"],["dc.contributor.author","Geng, L. S."],["dc.contributor.author","Altenbuchinger, Michael"],["dc.contributor.author","Weise, W."],["dc.date.accessioned","2021-09-17T09:46:47Z"],["dc.date.available","2021-09-17T09:46:47Z"],["dc.date.issued","2010-12-03"],["dc.description.abstract","We study the light quark mass dependence of the $ and $ meson decay constants, $ and {D_s}$, using a covariant formulation of chiral perturbation theory ($\\chi) at next-to-next-to-leading order (NNLO). Using the HPQCD lattice results for the decay constants as a benchmark we show that covariant $\\chi can describe the HPQCD results better than heavy meson $\\chi (HM$\\chi) at both NLO and NNLO. Within the same framework, taking into account sub-leading (/m_Q$, with $ the heavy quark mass) corrections to the values of the low-energy constants and employing the lattice QCD results for {BB^ \\pi}$, we estimate the ratio of {B_s}/f_B$ to be .22^{+0.05}_{-0.04}$, which agrees well with the HPQCD result .226(26)$."],["dc.identifier.arxiv","1012.0666v1"],["dc.identifier.doi","10.1016/j.physletb.2010.12.060"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89635"],["dc.relation.issn","0370-2693"],["dc.title","Light quark mass dependence of the $ and $ decay constants"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","219"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Bioinformatics"],["dc.bibliographiccitation.lastpage","226"],["dc.bibliographiccitation.volume","33"],["dc.contributor.author","Altenbuchinger, Michael"],["dc.contributor.author","Rehberg, T."],["dc.contributor.author","Zacharias, H. U."],["dc.contributor.author","Stämmler, F."],["dc.contributor.author","Dettmer, K."],["dc.contributor.author","Weber, D."],["dc.contributor.author","Hiergeist, A."],["dc.contributor.author","Gessner, A."],["dc.contributor.author","Holler, E."],["dc.contributor.author","Oefner, P. J."],["dc.contributor.author","Spang, R."],["dc.date.accessioned","2021-09-17T09:47:33Z"],["dc.date.available","2021-09-17T09:47:33Z"],["dc.date.issued","2017"],["dc.description.abstract","In biomedicine, every molecular measurement is relative to a reference point, like a fixed aliquot of RNA extracted from a tissue, a defined number of blood cells, or a defined volume of biofluid. Reference points are often chosen for practical reasons. For example, we might want to assess the metabolome of a diseased organ but can only measure metabolites in blood or urine. In this case, the observable data only indirectly reflects the disease state. The statistical implications of these discrepancies in reference points have not yet been discussed."],["dc.identifier.doi","10.1093/bioinformatics/btw598"],["dc.identifier.pmid","27634945"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89644"],["dc.language.iso","en"],["dc.relation.eissn","1367-4811"],["dc.relation.issn","1367-4803"],["dc.relation.issn","1460-2059"],["dc.title","Reference point insensitive molecular data analysis"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","453"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","British Journal of Haematology"],["dc.bibliographiccitation.lastpage","456"],["dc.bibliographiccitation.volume","182"],["dc.contributor.author","Cascione, Luciano"],["dc.contributor.author","Rinaldi, Andrea"],["dc.contributor.author","Chiappella, Annalisa"],["dc.contributor.author","Kwee, Ivo"],["dc.contributor.author","Ciccone, Giovannino"],["dc.contributor.author","Altenbuchinger, Michael"],["dc.contributor.author","Kohler, Christian"],["dc.contributor.author","Vitolo, Umberto"],["dc.contributor.author","Inghirami, Giorgio"],["dc.contributor.author","Bertoni, Francesco"],["dc.date.accessioned","2021-09-17T09:48:01Z"],["dc.date.available","2021-09-17T09:48:01Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1111/bjh.14817"],["dc.identifier.pmid","28737236"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89650"],["dc.language.iso","en"],["dc.relation.eissn","1365-2141"],["dc.relation.issn","0007-1048"],["dc.title","Diffuse large B cell lymphoma cell of origin by digital expression profiling in the REAL07 Phase 1-2 study"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","116"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","British Journal of Haematology"],["dc.bibliographiccitation.lastpage","119"],["dc.bibliographiccitation.volume","179"],["dc.contributor.author","Szczepanowski, Monika"],["dc.contributor.author","Lange, Jonas"],["dc.contributor.author","Kohler, Christian W."],["dc.contributor.author","Masque-Soler, Neus"],["dc.contributor.author","Zimmermann, Martin"],["dc.contributor.author","Aukema, Sietse M."],["dc.contributor.author","Altenbuchinger, Michael"],["dc.contributor.author","Rehberg, Thorsten"],["dc.contributor.author","Mahn, Friederike"],["dc.contributor.author","Siebert, Reiner"],["dc.contributor.author","Spang, Rainer"],["dc.contributor.author","Burkhardt, Birgit"],["dc.contributor.author","Klapper, Wolfram"],["dc.date.accessioned","2021-09-17T09:47:39Z"],["dc.date.available","2021-09-17T09:47:39Z"],["dc.date.issued","2017"],["dc.description.abstract","We present the largest series of diffuse large B-cell lymphoma (DLBCL) in patients younger than 18 years analysed to date by gene expression profiling using Nanostring technology to identify molecular subtypes and fluorescent in situ hybridization for translocations of MYC. We show that the activated B cell-like subtype of DLBCL is exceedingly rare in children and - in contrast to adults- not associated with outcome. Furthermore, we review the current literature and demonstrate that MYC translocations are not more frequent in paediatric compared to adult DLBCL. A prognostic role of MYC in the paediatric age groups seems unlikely."],["dc.identifier.doi","10.1111/bjh.14812"],["dc.identifier.pmid","28643426"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89645"],["dc.language.iso","en"],["dc.relation.eissn","1365-2141"],["dc.relation.issn","0007-1048"],["dc.title","Cell-of-origin classification by gene expression and MYC-rearrangements in diffuse large B-cell lymphoma of children and adolescents"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","3596"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Journal of Proteome Research"],["dc.bibliographiccitation.lastpage","3605"],["dc.bibliographiccitation.volume","16"],["dc.contributor.author","Zacharias, Helena U."],["dc.contributor.author","Rehberg, Thorsten"],["dc.contributor.author","Mehrl, Sebastian"],["dc.contributor.author","Richtmann, Daniel"],["dc.contributor.author","Wettig, Tilo"],["dc.contributor.author","Oefner, Peter J."],["dc.contributor.author","Spang, Rainer"],["dc.contributor.author","Gronwald, Wolfram"],["dc.contributor.author","Altenbuchinger, Michael"],["dc.date.accessioned","2021-09-17T09:47:02Z"],["dc.date.available","2021-09-17T09:47:02Z"],["dc.date.issued","2017"],["dc.description.abstract","Metabolomics data is typically scaled to a common reference like a constant volume of body fluid, a constant creatinine level, or a constant area under the spectrum. Such scaling of the data, however, may affect the selection of biomarkers and the biological interpretation of results in unforeseen ways. Here, we studied how both the outcome of hypothesis tests for differential metabolite concentration and the screening for multivariate metabolite signatures are affected by the choice of scale. To overcome this problem for metabolite signatures and to establish a scale-invariant biomarker discovery algorithm, we extended linear zero-sum regression to the logistic regression framework and showed in two applications to 1H NMR-based metabolomics data how this approach overcomes the scaling problem. Logistic zero-sum regression is available as an R package as well as a high-performance computing implementation that can be downloaded at https://github.com/rehbergT/zeroSum ."],["dc.identifier.arxiv","1703.07724v1"],["dc.identifier.doi","10.1021/acs.jproteome.7b00325"],["dc.identifier.pmid","28825821"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89638"],["dc.language.iso","en"],["dc.relation.eissn","1535-3907"],["dc.relation.issn","1535-3893"],["dc.title","Scale-Invariant Biomarker Discovery in Urine and Plasma Metabolite Fingerprints"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","75"],["dc.bibliographiccitation.lastpage","89"],["dc.contributor.author","Görtler, Franziska"],["dc.contributor.author","Solbrig, Stefan"],["dc.contributor.author","Wettig, Tilo"],["dc.contributor.author","Oefner, Peter J."],["dc.contributor.author","Spang, Rainer"],["dc.contributor.author","Altenbuchinger, Michael"],["dc.contributor.editor","Raphael, Benjamin J."],["dc.date.accessioned","2021-09-17T09:46:30Z"],["dc.date.available","2021-09-17T09:46:30Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1007/978-3-319-89929-9_5"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89631"],["dc.publisher","Springer"],["dc.relation.conference","22nd Annual International Conference, RECOMB 2018"],["dc.relation.eventend","2018-04-24"],["dc.relation.eventlocation","Paris"],["dc.relation.eventstart","2018-04-21"],["dc.relation.isbn","978-3-319-89928-2"],["dc.relation.isbn","978-3-319-89929-9"],["dc.relation.ispartof","Research in Computational Molecular Biology"],["dc.title","Loss-Function Learning for Digital Tissue Deconvolution"],["dc.type","conference_paper"],["dc.type.internalPublication","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1796"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Journal of Proteome Research"],["dc.bibliographiccitation.lastpage","1805"],["dc.bibliographiccitation.volume","18"],["dc.contributor.author","Zacharias, Helena U."],["dc.contributor.author","Altenbuchinger, Michael"],["dc.contributor.author","Schultheiss, Ulla T."],["dc.contributor.author","Samol, Claudia"],["dc.contributor.author","Kotsis, Fruzsina"],["dc.contributor.author","Poguntke, Inga"],["dc.contributor.author","Sekula, Peggy"],["dc.contributor.author","Krumsiek, Jan"],["dc.contributor.author","Köttgen, Anna"],["dc.contributor.author","Spang, Rainer"],["dc.contributor.author","Oefner, Peter J."],["dc.contributor.author","Gronwald, Wolfram"],["dc.date.accessioned","2021-09-17T09:47:06Z"],["dc.date.available","2021-09-17T09:47:06Z"],["dc.date.issued","2019"],["dc.description.abstract","Identification of chronic kidney disease patients at risk of progressing to end-stage renal disease (ESRD) is essential for treatment decision-making and clinical trial design. Here, we explored whether proton nuclear magnetic resonance (NMR) spectroscopy of blood plasma improves the currently best performing kidney failure risk equation, the so-called Tangri score. Our study cohort comprised 4640 participants from the German Chronic Kidney Disease (GCKD) study, of whom 185 (3.99%) progressed over a mean observation time of 3.70 ± 0.88 years to ESRD requiring either dialysis or transplantation. The original four-variable Tangri risk equation yielded a C statistic of 0.863 (95% CI, 0.831-0.900). Upon inclusion of NMR features by state-of-the-art machine learning methods, the C statistic improved to 0.875 (95% CI, 0.850-0.911), thereby outperforming the Tangri score in 94 out of 100 subsampling rounds. Of the 24 NMR features included in the model, creatinine, high-density lipoprotein, valine, acetyl groups of glycoproteins, and Ca2+-EDTA carried the highest weights. In conclusion, proton NMR-based plasma fingerprinting improved markedly the detection of patients at risk of developing ESRD, thus enabling enhanced patient treatment."],["dc.identifier.doi","10.1021/acs.jproteome.8b00983"],["dc.identifier.pmid","30817158"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89639"],["dc.language.iso","en"],["dc.relation.eissn","1535-3907"],["dc.relation.issn","1535-3893"],["dc.title","A Novel Metabolic Signature To Predict the Requirement of Dialysis or Renal Transplantation in Patients with Chronic Kidney Disease"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","543"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Leukemia"],["dc.bibliographiccitation.lastpage","552"],["dc.bibliographiccitation.volume","34"],["dc.contributor.author","Staiger, Annette M."],["dc.contributor.author","Altenbuchinger, Michael"],["dc.contributor.author","Ziepert, Marita"],["dc.contributor.author","Kohler, Christian"],["dc.contributor.author","Horn, Heike"],["dc.contributor.author","Huttner, Michael"],["dc.contributor.author","Hüttl, Katrin S."],["dc.contributor.author","Glehr, Gunther"],["dc.contributor.author","Klapper, Wolfram"],["dc.contributor.author","Szczepanowski, Monika"],["dc.contributor.author","Richter, Julia"],["dc.contributor.author","Stein, Harald"],["dc.contributor.author","Feller, Alfred C."],["dc.contributor.author","Möller, Peter"],["dc.contributor.author","Hansmann, Martin-Leo"],["dc.contributor.author","Poeschel, Viola"],["dc.contributor.author","Held, Gerhard"],["dc.contributor.author","Loeffler, Markus"],["dc.contributor.author","Schmitz, Norbert"],["dc.contributor.author","Trümper, Lorenz"],["dc.contributor.author","Pukrop, Tobias"],["dc.contributor.author","Rosenwald, Andreas"],["dc.contributor.author","Ott, German"],["dc.contributor.author","Spang, Rainer"],["dc.date.accessioned","2020-12-10T18:09:35Z"],["dc.date.available","2020-12-10T18:09:35Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1038/s41375-019-0573-y"],["dc.identifier.eissn","1476-5551"],["dc.identifier.issn","0887-6924"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/73698"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","A novel lymphoma-associated macrophage interaction signature (LAMIS) provides robust risk prognostication in diffuse large B-cell lymphoma clinical trial cohorts of the DSHNHL"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","452"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","Metabolites"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Häckl, Martina"],["dc.contributor.author","Tauber, Philipp"],["dc.contributor.author","Schweda, Frank"],["dc.contributor.author","Zacharias, Helena U."],["dc.contributor.author","Oefner, Peter J."],["dc.contributor.author","Gronwald, Wolfram"],["dc.contributor.author","Altenbuchinger, Michael"],["dc.date.accessioned","2021-09-01T06:43:05Z"],["dc.date.available","2021-09-01T06:43:05Z"],["dc.date.issued","2021"],["dc.description.abstract","NMR spectroscopy is a widely used method for the detection and quantification of metabolites in complex biological fluids. However, the large number of metabolites present in a biological sample such as urine or plasma leads to considerable signal overlap in one-dimensional NMR spectra, which in turn hampers both signal identification and quantification. As a consequence, we have developed an easy to use R-package that allows the fully automated deconvolution of overlapping signals in the underlying Lorentzian line-shapes. We show that precise integral values are computed, which are required to obtain both relative and absolute quantitative information. The algorithm is independent of any knowledge of the corresponding metabolites, which also allows the quantitative description of features of yet unknown identity."],["dc.description.abstract","NMR spectroscopy is a widely used method for the detection and quantification of metabolites in complex biological fluids. However, the large number of metabolites present in a biological sample such as urine or plasma leads to considerable signal overlap in one-dimensional NMR spectra, which in turn hampers both signal identification and quantification. As a consequence, we have developed an easy to use R-package that allows the fully automated deconvolution of overlapping signals in the underlying Lorentzian line-shapes. We show that precise integral values are computed, which are required to obtain both relative and absolute quantitative information. The algorithm is independent of any knowledge of the corresponding metabolites, which also allows the quantitative description of features of yet unknown identity."],["dc.description.sponsorship","Deutsche Forschungsgemeinschaft"],["dc.identifier.doi","10.3390/metabo11070452"],["dc.identifier.pii","metabo11070452"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89214"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-455"],["dc.publisher","MDPI"],["dc.relation.eissn","2218-1989"],["dc.rights","https://creativecommons.org/licenses/by/4.0/"],["dc.title","An R-Package for the Deconvolution and Integration of 1D NMR Data: MetaboDecon1D"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]