Statistical approaches applicable in managing OMICS data: Urinary proteomics as exemplary case
In conclusion, the analysis of adverse health outcomes in relation to omics biomarkers rests on the same statistical principle as any other data collected in large population or patient cohorts. The large number of biomarkers, which have to be considered simultaneously requires planning ahead how the study database will be structured and curated, imported in statistical software packages, analysis results will be triaged for clinical relevance, and presented.PMID:37143314 | DOI:10.1002/mas.21849
Source: Mass Spectrometry Reviews - Category: Molecular Biology Authors: De-Wei An Yu-Ling Yu Dries S Martens Agnieszka Latosinska Zhen-Yu Zhang Harald Mischak Tim S Nawrot Jan A Staessen Source Type: research
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