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Microarray data and patient sample selection
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GEO (https://www.ncbi.nlm.nih.gov/geo/) is a public functional genomics data repository supporting array and next generation sequence-based data (including RNAseq, DNAseq, and ChIPseq) submissions. We searched the GEO DataSets using the keywords ‘diabetes’ AND ‘obesity’ AND ‘adipose’ to find related gene expression profiles. The gene expression profile of GSE27951 including 21 human subcutaneous adipose tissues regardless of T2DM status was obtained from the GEO database [14].
Copyright and License information: ©2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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