Articles with "data analysis" as a keyword



Single‐Cell Hi‐C Technologies and Computational Data Analysis

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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… read more here.

Keywords: technologies computational; single cell; analysis; cell technologies ... See more keywords

Cell culture process metabolomics together with multivariate data analysis tools opens new routes for bioprocess development and glycosylation prediction

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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… read more here.

Keywords: cell culture; process; glycosylation; data analysis ... See more keywords

Some Views on Multi‐criteria Methods for Data Analysis

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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… read more here.

Keywords: multi criteria; analysis methods; analysis; criteria methods ... See more keywords

Optimize Neural Fuzzy Systems for High‐Dimensional Breast Cancer Data Analysis: A Deep Learning Approach

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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… read more here.

Keywords: deep learning; breast cancer; cancer data; analysis ... See more keywords

Identification of seven‐gene marker to predict the survival of patients with lung adenocarcinoma using integrated multi‐omics data analysis

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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). read more here.

Keywords: analysis; multi omics; data analysis; omics data ... See more keywords

Bayesian data analysis as a tool for behavior analysts.

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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… read more here.

Keywords: analysis tool; data analysis; bayesian data; analysis ... See more keywords

MRI and biomechanics multidimensional data analysis reveals R2‐R1ρ as an early predictor of cartilage lesion progression in knee osteoarthritis

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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… read more here.

Keywords: data analysis; biomechanics; analysis; multidimensional data ... See more keywords

Pain in Hospital: A Real‐Word Data Analysis

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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. read more here.

Keywords: word data; hospital real; real word; data analysis ... See more keywords

Validity of major osteoporotic fracture diagnosis codes in the Clinical Data Analysis and Reporting System in Hong Kong

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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… read more here.

Keywords: data analysis; fracture; analysis reporting; clinical data ... See more keywords

Standardised and Reproducible Phenotyping Using Distributed Analytics and Tools in the Data Analysis and Real World Interrogation Network (DARWIN EU)

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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… read more here.

Keywords: analysis real; real world; interrogation network; world ... See more keywords

Data Processing and Analysis in Positional Proteomics

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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… read more here.

Keywords: proteomics data; analysis; protein; positional proteomics ... See more keywords