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 |
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