Performance of case-control rare copy number variation annotation in classification of autism

BMC Medical Genomics

Volumn 8, Issue 1, 2015, Pages

  Engchuan, Worrawat ^a   Dhindsa, Kiret ^b   Lionel, Anath C ^c,d   Scherer, Stephen W ^c,d,e,f   Chan, Jonathan H ^a   Merico, Daniele ^c  

^a KING MONGKUT'S UNIVERSITY OF TECHNOLOGY THONBURI   (Thailand)

^b MCMASTER UNIVERSITY   (Canada)

^c HOSPITAL FOR SICK CHILDREN   (Canada)

^d UNIVERSITY OF TORONTO   (Canada)

^e UNIVERSITY OF TORONTO   (Canada)

^f KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

Autism Spectrum Disorders (ASD); Copy number variation (CNV); machine learning classification; Random Forest (RF); rare genetic variants

Indexed keywords

ARTICLE; AUTISM; CASE CONTROL STUDY; CONDITIONAL INFERENCE FOREST; CONTROLLED STUDY; COPY NUMBER VARIATION; DISEASE CLASSIFICATION; FEMALE; HUMAN; INTERMETHOD COMPARISON; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; RANDOM FOREST; BIOLOGY; CLASSIFICATION; GENE ONTOLOGY; GENETICS; MOLECULAR GENETICS; PROCEDURES;

AUTISTIC DISORDER; CASE-CONTROL STUDIES; COMPUTATIONAL BIOLOGY; DNA COPY NUMBER VARIATIONS; FEMALE; GENE ONTOLOGY; HUMANS; MACHINE LEARNING; MALE; MOLECULAR SEQUENCE ANNOTATION;

EID: 84964502119     PISSN: None     EISSN: 17558794     Source Type: Journal    
DOI: 10.1186/1755-8794-8-S1-S7     Document Type: Article

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