Research Paper Volume 16, Issue 5 pp 4563—4578
Machine learning-based endoplasmic reticulum-related diagnostic biomarker and immune microenvironment landscape for osteoarthritis
Figure 1. The workflows of data processing and differential expression analysis between HC and OA groups. (A, B) Data pre-processing of HC and OA samples in GEO database. (C) Identification of the DEGs between the HC and OA samples, the red dot indicates the up-DEGs and the blue dots indicate the down-DEGs in OA. The standard for selecting DEGs is set at p.adjust < 0.05. (D) The expression analysis of DEGs between HC and OA groups.