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. |
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| 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 |
| ISSN: | 2296-889X |
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| DOI: | 10.3389/fmolb.2023.1257550 |
