Machine learning of clinical phenotypes facilitates autism screening and identifies novel subgroups with distinct transcriptomic profiles.

However, when we examined the average severity scores across ADI-R items for each ASD symptom category using a heatmap cluster plot (Supplementary Data 5), we found that the severity of symptoms in each ASD symptom category did not differ substantially among the transcriptome-based subgroups, although Microarray_sub3 showed a trend towards higher severity compared to the other groups.

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The transcriptome-based subgroups, although molecularly distinct, showed less pronounced differences in symptom severity across ADI-R categories, with only Microarray_sub3 displaying a slight trend toward higher severity.

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