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Table 6 Application of the SVM algorithm derived from the genetic disorder sample to the different AGRE datasets

From: Behavioral signatures related to genetic disorders in autism

Genetic disorder AGRE0 AGRE1 AGRE2
  n % assigned Mean probability SD probability n % assigned Mean probability SD probability n % assigned Mean probability SD probability
22q11DS 26 6.9 0.44 0.154 23 5.2 0.44 0.143 28 6.3 0.48 0.189
Down’s 1 0.3 0.25 NA 1 0.2 0.28 NA 1 0.2 0.27 NA
PWS 1 0.3 0.34 NA 5 1.1 0.30 0.131 5 1.1 0.33 0.072
SMC15 24 6.4 0.40 0.086 28 6.3 0.40 0.102 32 7.2 0.41 0.093
TSC 255 68 0.61 0.139 302 68.2 0.62 0.134 283 63.9 0.60 0.140
XXY 68 18.1 0.41 0.092 84 19 0.41 0.071 94 21.2 0.42 0.095
Total 375 100    443 100    443 100   
  1. % assigned, percentage assigned to the respective genetic disorder class; 22q11DS, 22q11.2 deletion syndrome; AGRE, Autism Genetics Resource Exchange; Down’s, Down’s syndrome; mean probability, average predicted probability; n, number of assigned cases to the respective genetic disorder class; NA, not applicable; PWS, Prader-Willi syndrome; SD probability, standard deviation of predicted probability; SMC15, supernumerary marker chromosome 15; SVM, support vector machine; TSC, tuberous sclerosis complex; XXY, Klinefelter syndrome.