Show simple item record

dc.contributor.advisorÇiçek, Abdullah Ercüment
dc.contributor.authorBeyreli, İlayda
dc.date.accessioned2020-11-18T06:45:38Z
dc.date.available2020-11-18T06:45:38Z
dc.date.copyright2020-10
dc.date.issued2020-11
dc.date.submitted2020-11-17
dc.identifier.urihttp://hdl.handle.net/11693/54524
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionThesis (M.S.): Bilkent University, Department of Computer Engineering, İhsan Doğramacı Bilkent University, 2020.en_US
dc.descriptionIncludes bibliographical references (leaves 45-57).en_US
dc.description.abstractAutism Spectrum Disorder (ASD) and Intellectual Disability (ID) are comorbid neurodevelopmental disorders with complex genetic architectures. Despite largescale sequencing studies only a fraction of the risk genes were identified for both. Here, we present a novel network-based gene risk prioritization algorithm named DeepND that performs cross-disorder analysis to improve prediction power by exploiting the comorbidity of ASD and ID via multitask learning. Our model leverages information from gene co-expression networks that model human brain development using graph convolutional neural networks and learns which spatiotemporal neurodevelopmental windows are important for disorder etiologies. We show that our approach substantially improves the state-of-the-art prediction power. We observe that both disorders are enriched in transcription regulators. Despite tight regulatory links in between ASD risk genes, such is lacking across ASD and ID risk genes or within ID risk genes. Finally, we investigate frequent ASD and ID associated copy number variation regions and confident false findings to suggest several novel susceptibility gene candidates. DeepND can be generalized to analyze any combinations of comorbid disorders.en_US
dc.description.statementofresponsibilityby İlayda Beyrelien_US
dc.format.extentxiv, 84 leaves : charts (some color) ; 30 cm.en_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAutism spectrum disorderen_US
dc.subjectIntellectual disabilityen_US
dc.subjectComorbidityen_US
dc.subjectMultitask learningen_US
dc.subjectGraph convolutional networksen_US
dc.subjectDeep learningen_US
dc.titleMultitask learning of gene risk for autism spectrum disorder and intellectual disabilityen_US
dc.title.alternativeOtizm spektrum bozukluğu ve zeka geriliği için çok görevli risk öğrenimien_US
dc.typeThesisen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US
dc.identifier.itemidB149719


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record