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A curated census of pathogenic and likely pathogenic UTR variants and evaluation of deep learning models for variant effect prediction.

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Title: A curated census of pathogenic and likely pathogenic UTR variants and evaluation of deep learning models for variant effect prediction.
Authors: Bohn E; Deep Genomics Inc., Toronto, ON, Canada., Lau TTY; Deep Genomics Inc., Toronto, ON, Canada., Wagih O; Deep Genomics Inc., Toronto, ON, Canada., Masud T; Deep Genomics Inc., Toronto, ON, Canada., Merico D; Deep Genomics Inc., Toronto, ON, Canada.; The Centre for Applied Genomics, Hospital for Sick Children, Toronto, ON, Canada.
Source: Frontiers in molecular biosciences [Front Mol Biosci] 2023 Sep 08; Vol. 10, pp. 1257550. Date of Electronic Publication: 2023 Sep 08 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101653173 Publication Model: eCollection Cited Medium: Print ISSN: 2296-889X (Print) Linking ISSN: 2296889X NLM ISO Abbreviation: Front Mol Biosci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: A curated census of pathogenic and likely pathogenic UTR variants and evaluation of deep learning models for variant effect prediction.
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  Data: <searchLink fieldCode="JN" term="%22101653173%22">Frontiers in molecular biosciences</searchLink> [Front Mol Biosci] 2023 Sep 08; Vol. 10, pp. 1257550. <i>Date of Electronic Publication: </i>2023 Sep 08 (<i>Print Publication: </i>2023).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+S%2EA%22">Frontiers Media S.A </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101653173 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2296-889X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222296889X%22">2296889X </searchLink><i>NLM ISO Abbreviation: </i>Front Mol Biosci <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37745687
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        Value: 10.3389/fmolb.2023.1257550
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      – Code: eng
        Text: English
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        StartPage: 1257550
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      – TitleFull: A curated census of pathogenic and likely pathogenic UTR variants and evaluation of deep learning models for variant effect prediction.
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            – D: 08
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              Text: 2023 Sep 08
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