Cell culture process metabolomics together with multivariate data analysis tools opens new routes for bioprocess development and glycosylation prediction
Sign Up to like & getrecommendations! 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
Identification of seven‐gene marker to predict the survival of patients with lung adenocarcinoma using integrated multi‐omics data analysis
Sign Up to like & getrecommendations! 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.
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Validity of major osteoporotic fracture diagnosis codes in the Clinical Data Analysis and Reporting System in Hong Kong
Sign Up to like & getrecommendations! 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
A Topological Data Analysis perspective on noncovalent interactions in relativistic calculations
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Quantum Chemistry"
DOI: 10.1002/qua.26133
Abstract: Topological Data Analysis (TDA) is a powerful mathematical theory, largely unexplored in theoretical chemistry. In this work we demonstrate how TDA provides new insights into topological features of electron densities and reduced density gradients, by… read more here.
Keywords: chemistry; analysis; analysis perspective; perspective noncovalent ... See more keywords
Detecting associations between intact connectomes and clinical covariates using recursive partitioning object-oriented data analysis.
Sign Up to like & getrecommendations! Published in 2019 at "Statistics in medicine"
DOI: 10.1002/sim.8374
Abstract: Many neuroscientists are interested in how connectomes (graphical representations of functional connectivity between areas of the brain) change in relation to covariates. In statistics, changes like this are analyzed using regression, where the outcomes or… read more here.
Keywords: object oriented; recursive partitioning; oriented data; data analysis ... See more keywords
Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data.
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in medicine"
DOI: 10.1002/sim.9353
Abstract: Scientific progress has contributed to creating many devices to gather vast amounts of biomedical data over time. The goal of these devices is generally to monitor people's health conditions, diagnose, and prevent patients' diseases, for… read more here.
Keywords: supervised classification; biomedical signals; classification; functional data ... See more keywords
RNA-Seq Data Analysis in Galaxy.
Sign Up to like & getrecommendations! Published in 2021 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-1307-8_20
Abstract: A complete RNA-Seq analysis involves the use of several different tools, with substantial software and computational requirements. The Galaxy platform simplifies the execution of such bioinformatics analyses by embedding the needed tools in its web… read more here.
Keywords: data analysis; analysis; seq data; analysis galaxy ... See more keywords
Data Analysis of DNA Methylation Epigenome-Wide Association Studies (EWAS): A Guide to the Principles of Best Practice.
Sign Up to like & getrecommendations! Published in 2022 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-2140-0_2
Abstract: Array-based EWAS have become an increasingly popular technique to identify population epigenetic effects, particularly in humans. With the arrival of nonhuman species arrays, such as the mouse, this is likely to become an even more… read more here.
Keywords: analysis; analysis dna; methylation; dna methylation ... See more keywords
Analysis of High-Throughput RNA Bisulfite Sequencing Data.
Sign Up to like & getrecommendations! Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-6807-7_10
Abstract: Methylation of the 5-cytosine (m5C) is a common but not well-understood RNA modification, which can be detected by sequencing of bisulfite-treated transcripts (RNA-BSseq). In this Chapter, we discuss computational RNA-BSseq data analysis methods for transcriptome-wide… read more here.
Keywords: throughput rna; analysis high; data analysis; rna bisulfite ... See more keywords