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   Articles with "data normalization" as a keyword



Assessment of crAssphage as a biological variable for SARS-CoV-2 data normalization in wastewater surveillance.

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recommendations! Published in 2024 at "Journal of applied microbiology"

DOI: 10.1093/jambio/lxae177

Abstract: AIMS This study aimed to assess the use of cross-assembled phage (crAssphage) as an endogenous control employing a multivariate normalization analysis and its application as a SARS-CoV-2 data normalizer. METHODS AND RESULTS A total of… read more here.

Keywords: sars cov; data normalization; wastewater; cov data ... See more keywords

Comparison of Data Normalization Strategies for Array-Based MicroRNA Profiling Experiments and Identification and Validation of Circulating MicroRNAs as Endogenous Controls in Hypertension

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recommendations! Published in 2022 at "Frontiers in Genetics"

DOI: 10.3389/fgene.2022.836636

Abstract: Introduction: MicroRNAs are small noncoding RNAs with potential regulatory roles in hypertension and drug response. The presence of many of these RNAs in biofluids has spurred investigation into their role as possible biomarkers for use… read more here.

Keywords: normalization strategies; hypertension; control; array based ... See more keywords

Towards Standardization of Data Normalization Strategies to Improve Urinary Metabolomics Studies by GC×GC-TOFMS

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recommendations! Published in 2020 at "Metabolites"

DOI: 10.3390/metabo10090376

Abstract: Urine is a popular biofluid for metabolomics studies due to its simple, non-invasive collection and its availability in large quantities, permitting frequent sampling, replicate analyses, and sample banking. The biggest disadvantage with using urine is… read more here.

Keywords: urinary metabolomics; standardization data; data normalization; normalization ... See more keywords

Empirical evaluation of data normalization methods for molecular classification

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recommendations! Published in 2018 at "PeerJ"

DOI: 10.7717/peerj.4584

Abstract: Background Data artifacts due to variations in experimental handling are ubiquitous in microarray studies, and they can lead to biased and irreproducible findings. A popular approach to correct for such artifacts is through post hoc… read more here.

Keywords: normalization methods; molecular classification; classification; accuracy ... See more keywords