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1,003 research outcomes, page 1 of 101
  • publication . Preprint . Article . 2021
    Open Access English
    Authors:
    Tim Friede; Christian Röver;
    Persistent Identifiers

    Shrinkage estimation in a meta-analysis framework may be used to facilitate dynamical borrowing of information. This framework might be used to analyze a new study in the light of previous data, which might differ in their design (e.g., a randomized controlled trial (RC...

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  • publication . Article . Preprint . 2021
    Open Access English
    Authors:
    Christian Röver; Ralf Bender; Sofia Dias; Christopher H. Schmid; Heinz Schmidli; Sibylle Sturtz; Sebastian Weber; Tim Friede;
    Persistent Identifiers

    The normal-normal hierarchical model (NNHM) constitutes a simple and widely used framework for meta-analysis. In the common case of only few studies contributing to the meta-analysis, standard approaches to inference tend to perform poorly, and Bayesian meta-analysis ha...

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  • publication . Other literature type . Article . Preprint . 2021
    Open Access
    Authors:
    Angana Chakraborty; Burkhard Morgenstern; Sanghamitra Bandyopadhyay;
    Publisher: bioRxiv

    Abstract Background The advancement of SMRT technology has unfolded new opportunities of genome analysis with its longer read length and low GC bias. Alignment of the reads to their appropriate positions in the respective reference genome is the first but costliest step...

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  • publication . Article . Preprint . 2021
    Open Access English
    Authors:
    Tsz Wai Ko; Jonas A. Finkler; Stefan Goedecker; Jörg Behler;
    Persistent Identifiers
    Publisher: Nature Publishing Group UK
    Project: SNSF | Development of a Neural N... (200021E_182877)

    Machine learning potentials have become an important tool for atomistic simulations in many fields, from chemistry via molecular biology to materials science. Most of the established methods, however, rely on local properties and are thus unable to take global changes i...

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  • publication . Article . Preprint . 2020
    Open Access
    Authors:
    Markus Suhr; C. Lehmann; Christian R. Bauer; Theresa Bender; C. Knopp; L. Freckmann; B. Öst Hansen; C. Henke; G. Aschenbrandt; L. K. Kühlborn; ...
    Persistent Identifiers
    Publisher: Springer Science and Business Media LLC

    Comment: Preprint. 19 pages, 2 figures

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  • publication . Other literature type . Article . Preprint . 2020
    Open Access
    Authors:
    Charlotte Zimmermann; Taija L. Fischer; Martin A. Suhm;
    Publisher: MDPI AG

    The influence of distant London dispersion forces on the docking preference of alcohols of different size between the two lone electron pairs of the carbonyl group in pinacolone was explored by infrared spectroscopy of the OH stretching fundamental in supersonic jet exp...

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  • publication . Article . Preprint . Other literature type . 2020
    Open Access English
    Authors:
    Elina Zmeykina; Matthias Mittner; Walter Paulus; Zsolt Turi;
    Publisher: Nature Research

    Repetitive transcranial magnetic stimulation (rTMS) is a potent tool for modulating endogenous oscillations in humans. The current standard method for rTMS defines the stimulation intensity based on the evoked liminal response in the visual or motor system (e.g., restin...

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  • publication . Preprint . Article . Other literature type . 2020
    Open Access English
    Authors:
    Christoph Gerdes; Natalia Waal; Thomas Offner; Eugenio F. Fornasiero; Nora Wender; Hannes Verbarg; Ivan Manzini; Claudia Trenkwalder; Brit Mollenhauer; Timo Strohaeker; ...
    Publisher: Cold Spring Harbor Laboratory

    Aggregation and spreading of α-Synuclein (αSyn) are hallmarks of several neurodegenerative diseases, thus monitoring human αSyn (hαSyn) in animal models or cell cultures is vital for the field. However, the detection of native hαSyn in such systems is challenging. We sh...

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  • publication . Article . Other literature type . Preprint . 2020
    Open Access English
    Authors:
    Torsten Pook; Jan A Freudenthal; Arthur Korte; Henner Simianer;

    The prediction of breeding values and phenotypes is of central importance for both livestock and crop breeding. In this study, we analyze the use of artificial neural networks (ANN) and, in particular, local convolutional neural networks (LCNN) for genomic prediction, a...

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  • publication . Article . Preprint . 2020
    Open Access English
    Authors:
    Christian Röver;
    Persistent Identifiers
    Publisher: Foundation for Open Access Statistics
    Project: EC | INSPIRE (602144)

    The random-effects or normal-normal hierarchical model is commonly utilized in a wide range of meta-analysis applications. A Bayesian approach to inference is very attractive in this context, especially when a meta-analysis is based only on few studies. The bayesmeta R ...

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1,003 research outcomes, page 1 of 101