Evaluation of normalization strategies for GC-based metabolomics

ConclusionTUPA and TDPA carry different strengths: TUPA requires peak alignment across all samples, which depends upon the completion of the study, while TDPA is free from the requirement of alignment. The findings of the study would enhance the convenient and effective use of data normalization strategies and contribute to overcoming the data normalization challenges that currently exist in the metabolomics community.
Source: Metabolomics - Category: Biology Source Type: research
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