The abstract is read at the publisher; the summary is JClub's.
HLA-DRA is the top discriminating hub gene between cases and controls in the GSE403628 dataset, with an ROC AUC of 0.760.
- Why it matters: Shared molecular abnormalities across PTSD, schizophrenia, and bipolar disorder are not well defined, limiting biomarker and therapeutic target discovery.
- What they did: Gene expression data from NCBI were analyzed for DEGs, enriched pathways, and protein networks, then hub genes and transcription factors were tested with ROC and four machine-learning models using leave-one-out cross-validation on GSE403628 (14 controls, 14 cases).
- The result: The hub-gene set outperformed the transcription-factor set across all four algorithms, with Logistic Regression reaching the highest AUC of 0.800 and Random Forest and SVM-RBF reaching the highest accuracy of 0.679.
The findingWhy it mattersWhat they didThe result
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