ML-GAP: machine learning-enhanced genomic analysis pipeline using autoencoders and data augmentation.
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| Title: | ML-GAP: machine learning-enhanced genomic analysis pipeline using autoencoders and data augmentation. |
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| Authors: | Agraz M; Division of Applied Mathematics, Brown University, Providence, RI, United States.; Department of Statistics, Giresun University, Giresun, Türkiye., Goksuluk D; Department of Biostatistics, Erciyes University, Kayseri, Türkiye., Zhang P; Vascular Research Laboratory, VA Providence Healthcare System, Providence, RI, United States.; Division of Cardiology, Department of Medicine, Alpert Medical School of Brown University, Providence, RI, United States., Choi BR; Division of Cardiology, Department of Medicine, Alpert Medical School of Brown University, Providence, RI, United States.; Cardiovascular Research Center, Rhode Island Hospital, Providence, RI, United States., Clements RT; Vascular Research Laboratory, VA Providence Healthcare System, Providence, RI, United States.; Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island College of Pharmacy, South Kingston, RI, United States., Choudhary G; Vascular Research Laboratory, VA Providence Healthcare System, Providence, RI, United States.; Division of Cardiology, Department of Medicine, Alpert Medical School of Brown University, Providence, RI, United States.; Cardiovascular Research Center, Rhode Island Hospital, Providence, RI, United States., Karniadakis GE; Division of Applied Mathematics, Brown University, Providence, RI, United States.; School of Engineering, Brown University, Providence, RI, United States. |
| Source: | Frontiers in genetics [Front Genet] 2024 Sep 25; Vol. 15, pp. 1442759. Date of Electronic Publication: 2024 Sep 25 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101560621 Publication Model: eCollection Cited Medium: Print ISSN: 1664-8021 (Print) Linking ISSN: 16648021 NLM ISO Abbreviation: Front Genet Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39399219 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: ML-GAP: machine learning-enhanced genomic analysis pipeline using autoencoders and data augmentation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Agraz+M%22">Agraz M</searchLink>; Division of Applied Mathematics, Brown University, Providence, RI, United States.; Department of Statistics, Giresun University, Giresun, Türkiye.<br /><searchLink fieldCode="AU" term="%22Goksuluk+D%22">Goksuluk D</searchLink>; Department of Biostatistics, Erciyes University, Kayseri, Türkiye.<br /><searchLink fieldCode="AU" term="%22Zhang+P%22">Zhang P</searchLink>; Vascular Research Laboratory, VA Providence Healthcare System, Providence, RI, United States.; Division of Cardiology, Department of Medicine, Alpert Medical School of Brown University, Providence, RI, United States.<br /><searchLink fieldCode="AU" term="%22Choi+BR%22">Choi BR</searchLink>; Division of Cardiology, Department of Medicine, Alpert Medical School of Brown University, Providence, RI, United States.; Cardiovascular Research Center, Rhode Island Hospital, Providence, RI, United States.<br /><searchLink fieldCode="AU" term="%22Clements+RT%22">Clements RT</searchLink>; Vascular Research Laboratory, VA Providence Healthcare System, Providence, RI, United States.; Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island College of Pharmacy, South Kingston, RI, United States.<br /><searchLink fieldCode="AU" term="%22Choudhary+G%22">Choudhary G</searchLink>; Vascular Research Laboratory, VA Providence Healthcare System, Providence, RI, United States.; Division of Cardiology, Department of Medicine, Alpert Medical School of Brown University, Providence, RI, United States.; Cardiovascular Research Center, Rhode Island Hospital, Providence, RI, United States.<br /><searchLink fieldCode="AU" term="%22Karniadakis+GE%22">Karniadakis GE</searchLink>; Division of Applied Mathematics, Brown University, Providence, RI, United States.; School of Engineering, Brown University, Providence, RI, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101560621%22">Frontiers in genetics</searchLink> [Front Genet] 2024 Sep 25; Vol. 15, pp. 1442759. <i>Date of Electronic Publication: </i>2024 Sep 25 (<i>Print Publication: </i>2024). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Research+Foundation%22">Frontiers Research Foundation </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101560621 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1664-8021 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216648021%22">16648021 </searchLink><i>NLM ISO Abbreviation: </i>Front Genet <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39399219 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fgene.2024.1442759 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1442759 Titles: – TitleFull: ML-GAP: machine learning-enhanced genomic analysis pipeline using autoencoders and data augmentation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Agraz M – PersonEntity: Name: NameFull: Goksuluk D – PersonEntity: Name: NameFull: Zhang P – PersonEntity: Name: NameFull: Choi BR – PersonEntity: Name: NameFull: Clements RT – PersonEntity: Name: NameFull: Choudhary G – PersonEntity: Name: NameFull: Karniadakis GE IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 09 Text: 2024 Sep 25 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 1664-8021 Numbering: – Type: volume Value: 15 Titles: – TitleFull: Frontiers in genetics Type: main |
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