Statistical analysis in metabolic phenotyping

Benjamin J. Blaise, Gonçalo D. S. Correia, Gordon A. Haggart, Izabella Surowiec, Caroline Sands, Matthew R. Lewis, Jake T. M. Pearce, Johan Trygg, Jeremy K. Nicholson, Elaine Holmes, Timothy M. D. Ebbels

Published: 2021-07-27 DOI: 10.1038/s41596-021-00579-1

Metabolic phenotyping

Statistical analysis

Analytical technologies

Biomarker selection

Data normalization

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Supplementary information

Supplementary Information

Supplementary Figs. 1 and 2 and Supplementary Procedures 1.1 and 1.2.

Reporting Summary

An operant social self-administration and choice model in mice

Preparing ductal epithelial organoids for high-spatial-resolution molecular profiling using mass spectrometry imaging

Isotropic imaging across spatial scales with axially swept light-sheet microscopy

Snapshot photoacoustic topography through an ergodic relay of optical absorption in vivo

Design and fabrication of wearable electronic textiles using twisted fiber-based threads

Algorithmic assessment of cellular senescence in experimental and clinical specimens

Creating custom synthetic genomes inEscherichia coliwith REXER and GENESIS

High-speed super-resolution imaging of rotationally symmetric structures using SPEED microscopy and 2D-to-3D transformation

Designer DNA nanostructures for viral inhibition

Reproducible strategy for excisional skin-wound-healing studies in mice

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References

Supplementary information

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Statistical analysis in metabolic phenotyping

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