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http://dx.doi.org/10.1097/CORR.0000000000000792 | DOI Listing |
Bioinformatics
July 2021
Department of Clinical Science, University of Bergen, Bergen, Norway.
Motivation: Single nucleotide polymorphism (SNP) genotyping arrays remain an attractive platform for assaying copy number variants (CNVs) in large population-wide cohorts. However, current tools for calling CNVs are still prone to extensive false positive calls when applied to biobank scale arrays. Moreover, there is a lack of methods exploiting cohorts with trios available (e.
View Article and Find Full Text PDFSensors (Basel)
July 2019
Ubiquitous Computing, University of Siegen, Hölderlinstr. 3, 57076 Siegen, Germany.
Photoplethysmography (PPG)-based continuous heart rate monitoring is essential in a number of domains, e.g., for healthcare or fitness applications.
View Article and Find Full Text PDFInt J Cardiovasc Imaging
December 2019
Department of Cardiology III - Adult Congenital and Valvular Heart Disease, University Hospital Muenster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Deep learning (DL) algorithms are increasingly used in cardiac imaging. We aimed to investigate the utility of DL algorithms in de-noising transthoracic echocardiographic images and removing acoustic shadowing artefacts specifically in patients with congenital heart disease (CHD). In addition, the performance of DL algorithms trained on CHD samples was compared to models trained entirely on structurally normal hearts.
View Article and Find Full Text PDFClin Orthop Relat Res
June 2019
A. J. Hawk, Collections Manager, Historical Collections, National Museum of Health and Medicine, Defense Health Agency, Silver Spring, MD, USA.
Molecules
October 2018
Laboratory for Biomolecular Simulation Research, Institute for Quantitative Biomedicine, Department of Chemistry and Chemical Biology, Rutgers University, Piscataway, NJ 08854, USA.
Maintaining a proper balance between specific intermolecular interactions and non-specific solvent interactions is of critical importance in molecular simulations, especially when predicting binding affinities or reaction rates in the condensed phase. The most rigorous metric for characterizing solvent affinity are solvation free energies, which correspond to a transfer from the gas phase into solution. Due to the drastic change of the electrostatic environment during this process, it is also a stringent test of polarization response in the model.
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