Article

Data-adaptive pipeline for filtering and normalizing metabolomics data

2018-08-08

Abstract excerpt

<h4>Introduction</h4> Untargeted metabolomics datasets contain large proportions of uninformative features and are affected by a variety of nuisance technical effects that can bias subsequent statistical analyses. Thus, there is a need for versatile and data-adaptive methods for filtering and normalizing data prior to investigating the underlying biological phenomena. <h4>Objectives</h4> Here, we propose and eva...

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Literature Corpus work: 02b114b7-ec05-554c-ac76-255713de52cb
DOI: 10.1101/387365

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