2023 article

From big data to big insights: statistical and bioinformatic approaches for exploring the lipidome

Chappel, J. R., Kirkwood-Donelson, K. I., Reif, D. M., & Baker, E. S. (2023, October 25). ANALYTICAL AND BIOANALYTICAL CHEMISTRY, Vol. 10.

author keywords: Lipidomics; Univariate; Multivariate; Pathway; Enrichment
topics (OpenAlex): Metabolomics and Mass Spectrometry Studies; Computational Drug Discovery Methods; Machine Learning in Bioinformatics
TL;DR: A framework for guiding lipidomic data analysis to promote a greater assessment of lipidomic results, while understanding potential advantages and weaknesses along the way is provided. (via Semantic Scholar)
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Added: November 20, 2023