A New Pipeline for the Normalization and Pooling of Metabolomics Data

Pooling metabolomics data across studies is often desirable to increase the statistical power of the analysis. However, this can raise methodological challenges as several preanalytical and analytical factors could introduce differences in measured concentrations and variability between datasets. Sp...

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Detalles Bibliográficos
Autores principales: Viallon, Vivian, His, Mathilde, Rinaldi, Sabina, Breeur, Marie, Gicquiau, Audrey, Hemon, Bertrand, Overvad, Kim, Tjønneland, Anne, Rostgaard-Hansen, Agnetha Linn, Rothwell, Joseph A., Lecuyer, Lucie, Severi, Gianluca, Kaaks, Rudolf, Johnson, Theron, Schulze, Matthias B., Palli, Domenico, Agnoli, Claudia, Panico, Salvatore, Tumino, Rosario, Ricceri, Fulvio, Verschuren, W. M. Monique, Engelfriet, Peter, Onland-Moret, Charlotte, Vermeulen, Roel, Nøst, Therese Haugdahl, Urbarova, Ilona, Zamora-Ros, Raul, Rodriguez-Barranco, Miguel, Amiano, Pilar, Huerta, José Maria, Ardanaz, Eva, Melander, Olle, Ottoson, Filip, Vidman, Linda, Rentoft, Matilda, Schmidt, Julie A., Travis, Ruth C., Weiderpass, Elisabete, Johansson, Mattias, Dossus, Laure, Jenab, Mazda, Gunter, Marc J., Lorenzo Bermejo, Justo, Scherer, Dominique, Salek, Reza M., Keski-Rahkonen, Pekka, Ferrari, Pietro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8467830/
https://www.ncbi.nlm.nih.gov/pubmed/34564446
http://dx.doi.org/10.3390/metabo11090631

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