Výsledky vyhledávání - "Alexia Kakourou"

Akademický článek

Impact of synbiotics on gut microbiota during early life: a randomized, double-blind study

Autor: Nopaorn Phavichitr, Shugui Wang, Sirinuch Chomto, Ruangvith Tantibhaedhyangkul, Alexia Kakourou, Sukkrawan Intarakhao, Sungkom Jongpiputvanich, COLOR Study Group, Guus Roeselers, Jan Knol

Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)

Abstract Human milk is considered the optimal nutrition for infants and found to contain significant numbers of viable bacteria. The aim of the study was to assess the effects of a specific synbiotic combination at doses closer to the bacterial cells

Externí odkaz: https://doaj.org/article/e935cad5b39f45c4bb79232e5d535bc9

Zobrazit plný text záznamu

Plný text ve formátu HTML

Frailty, Sarcopenia, and Malnutrition Frequently (Co-)occur in Hospitalized Older Adults: A Systematic Review and Meta-analysis

Autor: Tommy Cederholm, Yvette C. Luiking, Alexia Kakourou, Andrea B. Maier, Gerdien C. Ligthart-Melis, Marian A. E. de van der Schueren

Publikováno v: Journal of the American Medical Directors Association, 21, 1216-1228
Ligthart-Melis, G C, Luiking, Y C, Kakourou, A, Cederholm, T, Maier, A B & de van der Schueren, M A E 2020, ' Frailty, Sarcopenia, and Malnutrition Frequently (Co-)occur in Hospitalized Older Adults : A Systematic Review and Meta-analysis ', Journal of the American Medical Directors Association, vol. 21, no. 9, pp. 1216-1228 . https://doi.org/10.1016/j.jamda.2020.03.006

Objectives: The purpose of this systematic review and meta-analysis was to summarize the prevalence of, and association between, physical frailty or sarcopenia and malnutrition in older hospitalized adults. Design: A systematic literature search was

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25c2d3aafd89c77ac84f488d3efed867
https://doi.org/10.1016/j.jamda.2020.03.006

Zobrazit plný text záznamu

Bayesian variable selection logistic regression with paired proteomic measurements

Autor: Bart Mertens, Alexia Kakourou

Publikováno v: Biometrical Journal
Biometrical Journal, 60(5), 1003-1020
Biometrical Journal. Biometrische Zeitschrift

We explore the problem of variable selection in a case‐control setting with mass spectrometry proteomic data consisting of paired measurements. Each pair corresponds to a distinct isotope cluster and each component within pair represents a summary

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f377c4ee0570c8c54e8eb9f640dc927a
https://doi.org/10.1002/bimj.201700182

Zobrazit plný text záznamu

Accounting for isotopic clustering in Fourier transform mass spectrometry data analysis for clinical diagnostic studies

Autor: Bart Mertens, Simone Nicolardi, Yuri E. M. van der Burgt, Werner Vach, Alexia Kakourou

Publikováno v: Statistical Applications in Genetics and Molecular Biology, 15(5), 415-430

Mass spectrometry based clinical proteomics has emerged as a powerful tool for high-throughput protein profiling and biomarker discovery. Recent improvements in mass spectrometry technology have boosted the potential of proteomic studies in biomedica

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c1d371be5bad33e45c068a9cf9c6bbc
https://doi.org/10.1515/sagmb-2016-0005

Zobrazit plný text záznamu

Adapting censored regression methods to adjust for the limit of detection in the calibration of diagnostic rules for clinical mass spectrometry proteomic data

Autor: Bart Mertens, Werner Vach, Alexia Kakourou

Publikováno v: Statistical Methods in Medical Research, 27(9), 2742-2755

Despite the recent advances in mass spectrometry (MS), summarizing and analyzing high-throughput mass-spectrometry data remains a challenging task. This is, on the one hand, due to the complexity of the spectral signal which is measured, and on the o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e5ba41953d0a73879b7b98e0093e44e
https://hdl.handle.net/1887/95845

Zobrazit plný text záznamu

On the Combination of Omics Data for Prediction of Binary Outcomes

Autor: Rob A. E. M. Tollenaar, Mar Rodríguez-Girondo, Markus Perola, Alexia Kakourou, Perttu Salo, Jeanine J. Houwing-Duistermaat, Bart Mertens, Wilma E. Mesker

Publikováno v: Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry ISBN: 9783319458076

Enrichment of predictive models with new biomolecular markers is an important task in high-dimensional omic applications. Increasingly, clinical studies include several sets of such omics markers available for each patient, measuring different levels

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::db3f7ba89729e5aba14d3c0f4a5993bb
https://doi.org/10.1007/978-3-319-45809-0_14

Zobrazit plný text záznamu

Combination Approaches Improve Predictive Performance of Diagnostic Rules for Mass-Spectrometry Proteomic Data

Autor: Werner Vach, Bart Mertens, Alexia Kakourou

Publikováno v: Journal of Computational Biology, 21(12), 898-914

We consider a proteomic mass spectrometry case-control study for the construction of a diagnostic rule for patients' disease status allocation. We propose an approach for combining a collection of classifiers for the construction of a “combined”

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77d52abb15e79566dbe83b258ada8932
https://hdl.handle.net/1887/104990

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání