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Autism is a multifactorial behavioral disease, which is caused by different environmental and genetic alterations. In this disease, various molecular pathways such as inflammation and cell-cell connections are affected. In this study, by analyzing RNA-seq data and bioinformatics approaches, candidate genes were selected for further analysis, and the expression of candidate genes in the blood samples of autistic people was compared to normal. Finally, the candidate genes showed potential as biological markers for prognosis in autism. Through the analysis of these candidate genes, the researchers were able to identify changes in the expression of certain genes that were associated with the disease. By understanding how these genes are involved in the disease, researchers can develop better treatments and diagnose the disease earlier. |
