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Published in 2025 at "Advanced Science"
DOI: 10.1002/advs.202412232
Abstract: Single‐cell chromatin conformation capture (scHi‐C) techniques have evolved to provide significant insights into the structural organization and regulatory mechanisms in individual cells. Although many scHi‐C protocols have been developed, they often involve intricate procedures and…
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Keywords:
technologies computational;
single cell;
analysis;
cell technologies ... See more keywords
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Published in 2020 at "Biotechnology Progress"
DOI: 10.1002/btpr.3012
Abstract: Multivariate latent variable methods have become a popular and versatile toolset to analyze bioprocess data in industry and academia. This work spans such applications from the evaluation of the role of the standard process variables…
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Keywords:
cell culture;
process;
glycosylation;
data analysis ... See more keywords
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Published in 2024 at "Journal of Chemometrics"
DOI: 10.1002/cem.3597
Abstract: Many data analysis methods actually combine optimization of several criteria. In this paper, a framework is offered for categorizing such multi‐criteria methods. In particular, it categorizes multiset and three‐way analysis methods as well as penalized…
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Keywords:
multi criteria;
analysis methods;
analysis;
criteria methods ... See more keywords
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Published in 2025 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.70117
Abstract: Accurate and timely analysis of breast cancer data is crucial for the successful deployment and advancement of intelligent healthcare systems. Traditional health status prediction methods, which often rely on shallow models, fall short in complex…
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Keywords:
deep learning;
breast cancer;
cancer data;
analysis ... See more keywords
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Published in 2021 at "Journal of Clinical Laboratory Analysis"
DOI: 10.1002/jcla.24190
Abstract: The mechanism of cancer occurrence and development could be understood with multi‐omics data analysis. Discovering genetic markers is highly necessary for predicting clinical outcome of lung adenocarcinoma (LUAD).
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Keywords:
analysis;
multi omics;
data analysis;
omics data ... See more keywords
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Published in 2019 at "Journal of the experimental analysis of behavior"
DOI: 10.1002/jeab.512
Abstract: Bayesian approaches to data analysis are considered within the context of behavior analysis. The paper distinguishes between Bayesian inference, the use of Bayes Factors, and Bayesian data analysis using specialized tools. Given the importance of…
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Keywords:
analysis tool;
data analysis;
bayesian data;
analysis ... See more keywords
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Published in 2018 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.25750
Abstract: To couple quantitative compositional MRI, gait analysis, and machine learning multidimensional data analysis to study osteoarthritis (OA). OA is a multifactorial disorder accompanied by biochemical and morphological changes in the articular cartilage, modulated by skeletal…
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Keywords:
data analysis;
biomechanics;
analysis;
multidimensional data ... See more keywords
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Published in 2025 at "Nursing Open"
DOI: 10.1002/nop2.70126
Abstract: The study aim was to describe the prevalence of pain, its assessment, and its associated characteristics in a university hospital in the French‐speaking part of Switzerland.
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Keywords:
word data;
hospital real;
real word;
data analysis ... See more keywords
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Published in 2017 at "Pharmacoepidemiology and Drug Safety"
DOI: 10.1002/pds.4208
Abstract: Large medical record databases facilitate epidemiology research in fracture. However, the validity of fracture in the databases is needed to ensure the reliability of data. We aimed to assess the validity of International Classification of…
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Keywords:
data analysis;
fracture;
analysis reporting;
clinical data ... See more keywords
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Published in 2024 at "Pharmacoepidemiology and Drug Safety"
DOI: 10.1002/pds.70042
Abstract: The generation of representative disease phenotypes is important for ensuring the reliability of the findings of observational studies. The aim of this manuscript is to outline a reproducible framework for reliable and traceable phenotype generation…
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Keywords:
analysis real;
real world;
interrogation network;
world ... See more keywords
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Published in 2025 at "Proteomics"
DOI: 10.1002/pmic.70069
Abstract: Proteolytic cleavage is an irreversible post‐translational modification (PTM), and dysregulation of protease activity is often a hallmark in disease. Aberrant proteolysis can alter protein abundance or function, disturbing cellular state and resulting in disease‐specific biomarkers…
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Keywords:
proteomics data;
analysis;
protein;
positional proteomics ... See more keywords