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Conference Paper: Mining risk regulatory variants of Tetralogy of Fallot using deep learning models

TitleMining risk regulatory variants of Tetralogy of Fallot using deep learning models
Authors
Lin, QHong, HGruber, PJTang, SMChien, KTam, PKH
Issue Date2021
PublisherAmerican Society of Human Genetics.
Citation
The 71st Annual Meeting of the American Society of Human Genetics (ASHG) (Virtual), 18-22 October, 2021. In ASHG Virtual Meeting October 18-22, 2021: American Society of Human Genetics 71st Annual Meeting abstracts, p. 645 How to Cite?
DescriptionOrganizer: American Society of Human Genetics
Poster presentation: PrgmNr 2269
Persistent Identifierhttp://hdl.handle.net/10722/315817

 

DC FieldValueLanguage
dc.contributor.authorLin, Q-
dc.contributor.authorHong, H-
dc.contributor.authorGruber, PJ-
dc.contributor.authorTang, SM-
dc.contributor.authorChien, K-
dc.contributor.authorTam, PKH-
dc.date.accessioned2022-08-19T09:04:59Z-
dc.date.available2022-08-19T09:04:59Z-
dc.date.issued2021-
dc.identifier.citationThe 71st Annual Meeting of the American Society of Human Genetics (ASHG) (Virtual), 18-22 October, 2021. In ASHG Virtual Meeting October 18-22, 2021: American Society of Human Genetics 71st Annual Meeting abstracts, p. 645-
dc.identifier.urihttp://hdl.handle.net/10722/315817-
dc.descriptionOrganizer: American Society of Human Genetics-
dc.descriptionPoster presentation: PrgmNr 2269-
dc.languageeng-
dc.publisherAmerican Society of Human Genetics.-
dc.relation.ispartofASHG Virtual Meeting October 18-22, 2021: American Society of Human Genetics 71st Annual Meeting abstracts-
dc.titleMining risk regulatory variants of Tetralogy of Fallot using deep learning models-
dc.typeConference_Paper-
dc.identifier.emailTang, SM: claratang@hku.hk-
dc.identifier.emailTam, PKH: paultam@HKUCC-COM.hku.hk-
dc.identifier.authorityTang, SM=rp02105-
dc.identifier.authorityTam, PKH=rp00060-
dc.identifier.hkuros336082-
dc.identifier.spage645-
dc.identifier.epage645-
dc.publisher.placeUnited States-

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