Machine learning in schizophrenia genomics, a case-control study using 5,090 exomes.

Trakadis, Yannis J; Sardaar, Sameer; Chen, Anthony; Fulginiti, Vanessa; Krishnan, Ankur

Trakadis, Yannis J; Sardaar, Sameer; Chen, Anthony; Fulginiti, Vanessa; Krishnan, Ankur.

Affiliation

Trakadis YJ; Department of Human Genetics, McGill University, Montreal, Québec, Canada.
Sardaar S; Department of Human Genetics, McGill University, Montreal, Québec, Canada.
Chen A; Department of Human Genetics, McGill University, Montreal, Québec, Canada.
Fulginiti V; Department of Human Genetics, McGill University, Montreal, Québec, Canada.
Krishnan A; Department of Human Genetics, McGill University, Montreal, Québec, Canada.

Am J Med Genet B Neuropsychiatr Genet ; 180(2): 103-112, 2019 03.

Article in En | MEDLINE | ID: mdl-29704323

Subject(s)

Computational Biology/methods; Schizophrenia/genetics; Sequence Analysis, DNA/methods; Algorithms; Alleles; Case-Control Studies; Exome/genetics; Gene Frequency/genetics; Genomics; Genotype; Humans; INDEL Mutation/genetics; Machine Learning; Polymorphism, Single Nucleotide/genetics; ROC Curve; Schizophrenia/etiology; Schizophrenic Psychology; Sensitivity and Specificity; Whole Genome Sequencing/methods

Key words

artificial intelligence; diagnostic; genomic; prediction; psychosis

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Schizophrenia / Sequence Analysis, DNA / Computational Biology Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Am J Med Genet B Neuropsychiatr Genet Journal subject: GENETICA MEDICA / NEUROLOGIA / PSIQUIATRIA Year: 2019 Type: Article Affiliation country: Canada

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