Gene ontology (go)-driven inference of candidate proteomic markers associated with muscle atrophy conditions

HIGHLIGHTS

  • who: Angelique Stalmach and collaborators from the Centre for Health Science, Division of Biomedical Sciences, Institute of Health Research and Innovation, School of Health, Social Care and Life Sciences, University of the Highlands and Islands, Inverness , JH, UK have published the paper: Gene Ontology (GO)-Driven Inference of Candidate Proteomic Markers Associated with Muscle Atrophy Conditions, in the Journal: Molecules 2022, 27, x FOR PEER REVIEW of 15/Nov/2021
  • what: The authors demonstrate that the GO analysis of published human proteomics data can identify processes not revealed by single studies. The aim is bound . . .

     

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