Abstract:SUMMARY OBJECTIVE This study aimed to propose a co-expression-network (CEN) based gene functional inference by extending the “Guilt by Association” (GBA) principle to predict candidate gene functions for type 1 diabetes mellitus (T1DM). METHODS Firstly, transcriptome data of T1DM were retrieved from the genomics data repository for differentially expressed gene (DEGs) analysis, and a weighted differential CEN was generated. The area under the receiver operating characteristics curve (AUC) was chosen to det… Show more
“…Recently, several genes have been identified as having a potential diagnostic and prognostic value in DM and related complications such as diabetic nephropathy and diabetic cardiomyopathy. [12][13][14] In the realm of DR, various genes were also found to be potential candidates for DR diagnosis and progression. For instance, Li et al found that angiogenesis growth factors VEGFC, ANGPT1, ANGPT2, and EFNB2 were upregulated in DR patients, presenting their potentials as biomarkers for DR diagnosis and treatment.…”
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
“…Recently, several genes have been identified as having a potential diagnostic and prognostic value in DM and related complications such as diabetic nephropathy and diabetic cardiomyopathy. [12][13][14] In the realm of DR, various genes were also found to be potential candidates for DR diagnosis and progression. For instance, Li et al found that angiogenesis growth factors VEGFC, ANGPT1, ANGPT2, and EFNB2 were upregulated in DR patients, presenting their potentials as biomarkers for DR diagnosis and treatment.…”
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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