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Device learning-based researches may be carried out for ASD, prioritizing high-confidence gene prospects and marketing the style of effective treatments. Utilizing human brain nucleus gene expression of ASD and controls, we build cellular type-specific predictive designs for ASD according to individual genetics and gene sets, respectively, to screen cell type-specific ASD-associated genes and gene sets. These two types of predictive models can anticipate the diagnosis of a nucleus wit