Duda et al. [45] established a network known as brain tissue-specific Functional Relational Network (FRN), which applies machine learning techniques to predict the genomic-activated of autism concerned genes such as CTCF (11-zinc finger protein encoded gene), BRAF (serine and threonine kinase protein encoded gene), CHD7 (Chromodomain Helicase DNA 7), CHD8 (Chromodomain Helicase DNA 8), NTRK1 (Neurotrophic Tyrosine Receptor Kinase 1), and PTEN (Phosphatase and Tensin Homolog). Here, PTEN is linked to autism.