A comparison of machine learning algorithms for the surveillance of autism spectrum disorder. Lee Scott H et al. PloS one 2019 14(9) e0222907

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Last Posted: Oct 18, 2019

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• A comparison of machine learning algorithms for the surveillance of autism spectrum disorder.
  Lee Scott H et al. PloS one 2019 14(9) e0222907
• EXPLORATORY ANALYSIS OF POLYGENIC RISK SCORES FOR PSYCHIATRIC DISORDERS: APPLIED TO DUAL DIAGNOSIS.
  Martínez-Magaña José J et al. Revista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion 2019 71(5) 321-329
• A large data resource of genomic copy number variation across neurodevelopmental disorders
  Mehdi Zarrei, et al. Genomic Medcine, October 7, 2019
• Genetic Causes of Female Infertility.
  Beke Artur et al. Experientia supplementum (2012) 2019 111367-383
• Developmental Trajectories of Infants With Multiplex Family Risk for Autism: A Baby Siblings Research Consortium Study.
  McDonald Nicole M et al. JAMA neurology 2019 Oct
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  Mendelsohn Bryce A et al. JAMA neurology 2019 Oct
• Will genome sequencing bring precision medicine for all?
  A Anthony, The Guardian, September 28, 2019
• 32 and you - genetic testing for dental disorders.
  Harrison M et al. British dental journal 2018 224(10) 829-832
• Diagnosis of Duchenne Muscular Dystrophy in Italy in the last decade: Critical issues and areas for improvements.
  D'Amico Adele et al. Neuromuscular disorders : NMD 2017 May 27(5) 447-451
• Genetic Testing Experiences Among Parents of Children with Autism Spectrum Disorder in the United States.
  Zhao Shixi et al. Journal of autism and developmental disorders 2019 Sep

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