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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প্রধান লেখক:	Viallon, V, His, M, Rinaldi, S, Breeur, M, Gicquiau, A, Hemon, B, Overvad, K, Tjønneland, A, Rostgaard-Hansen, AL, Rothwell, JA, Lecuyer, L, Severi, G, Kaaks, R, Johnson, T, Schulze, MB, Palli, D, Agnoli, C, Panico, S, Tumino, R, Ricceri, F, Verschuren, WMM, Engelfriet, P, Onland-Moret, C, Vermeulen, R, Nøst, TH, Urbarova, I, Zamora-Ros, R, Rodriguez-Barranco, M, Amiano, P, Huerta, JM, Ardanaz, E, Melander, O, Ottoson, F, Vidman, L, Rentoft, M, Schmidt, JA, Travis, RC, Weiderpass, E, Johansson, M, Dossus, L, Jenab, M, Gunter, MJ, Lorenzo Bermejo, J, Scherer, D, Salek, RM, Keski-Rahkonen, P, Ferrari, P
বিন্যাস:	Journal article
ভাষা:	English
প্রকাশিত:	MDPI 2021

A new pipeline for the normalization and pooling of metabolomics data

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