Integrating structure annotation and machine learning approaches to develop graphene toxicity models.
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| Title: | Integrating structure annotation and machine learning approaches to develop graphene toxicity models. |
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| Authors: | Wang T; Department of Chemistry and Biochemistry, Rowan University, Glassboro, NJ 08028, USA., Russo DP; Department of Chemistry and Biochemistry, Rowan University, Glassboro, NJ 08028, USA., Bitounis D; Center for Nanotechnology and Nanotoxicology, Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, 655 Huntington Ave, Boston, MA 02115, USA.; Nanoscience and Advanced Materials Center, Environmental Occupational Health Sciences Institute, School of Public Health, Rutgers University, Piscataway, New Jersey 08854, USA., Demokritou P; Center for Nanotechnology and Nanotoxicology, Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, 655 Huntington Ave, Boston, MA 02115, USA.; Nanoscience and Advanced Materials Center, Environmental Occupational Health Sciences Institute, School of Public Health, Rutgers University, Piscataway, New Jersey 08854, USA., Jia X; Department of Chemistry and Biochemistry, Rowan University, Glassboro, NJ 08028, USA., Huang H; Department of Electrical and Computer Engineering, Department of Biomedical Informatics, University of Pittsburgh, 5607 Baum Boulevard, Pittsburgh, Pennsylvania, USA., Zhu H; Department of Chemistry and Biochemistry, Rowan University, Glassboro, NJ 08028, USA. |
| Source: | Carbon [Carbon N Y] 2023 Feb; Vol. 204, pp. 484-494. Date of Electronic Publication: 2022 Dec 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Pergamon Press Country of Publication: United States NLM ID: 101204394 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0008-6223 (Print) Linking ISSN: 00086223 NLM ISO Abbreviation: Carbon N Y Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36845527 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Integrating structure annotation and machine learning approaches to develop graphene toxicity models. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wang+T%22">Wang T</searchLink>; Department of Chemistry and Biochemistry, Rowan University, Glassboro, NJ 08028, USA.<br /><searchLink fieldCode="AU" term="%22Russo+DP%22">Russo DP</searchLink>; Department of Chemistry and Biochemistry, Rowan University, Glassboro, NJ 08028, USA.<br /><searchLink fieldCode="AU" term="%22Bitounis+D%22">Bitounis D</searchLink>; Center for Nanotechnology and Nanotoxicology, Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, 655 Huntington Ave, Boston, MA 02115, USA.; Nanoscience and Advanced Materials Center, Environmental Occupational Health Sciences Institute, School of Public Health, Rutgers University, Piscataway, New Jersey 08854, USA.<br /><searchLink fieldCode="AU" term="%22Demokritou+P%22">Demokritou P</searchLink>; Center for Nanotechnology and Nanotoxicology, Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, 655 Huntington Ave, Boston, MA 02115, USA.; Nanoscience and Advanced Materials Center, Environmental Occupational Health Sciences Institute, School of Public Health, Rutgers University, Piscataway, New Jersey 08854, USA.<br /><searchLink fieldCode="AU" term="%22Jia+X%22">Jia X</searchLink>; Department of Chemistry and Biochemistry, Rowan University, Glassboro, NJ 08028, USA.<br /><searchLink fieldCode="AU" term="%22Huang+H%22">Huang H</searchLink>; Department of Electrical and Computer Engineering, Department of Biomedical Informatics, University of Pittsburgh, 5607 Baum Boulevard, Pittsburgh, Pennsylvania, USA.<br /><searchLink fieldCode="AU" term="%22Zhu+H%22">Zhu H</searchLink>; Department of Chemistry and Biochemistry, Rowan University, Glassboro, NJ 08028, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101204394%22">Carbon</searchLink> [Carbon N Y] 2023 Feb; Vol. 204, pp. 484-494. <i>Date of Electronic Publication: </i>2022 Dec 26. – 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="%22Pergamon+Press%22">Pergamon Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101204394 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>0008-6223 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200086223%22">00086223 </searchLink><i>NLM ISO Abbreviation: </i>Carbon N Y <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36845527 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.carbon.2022.12.065 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 484 Titles: – TitleFull: Integrating structure annotation and machine learning approaches to develop graphene toxicity models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang T – PersonEntity: Name: NameFull: Russo DP – PersonEntity: Name: NameFull: Bitounis D – PersonEntity: Name: NameFull: Demokritou P – PersonEntity: Name: NameFull: Jia X – PersonEntity: Name: NameFull: Huang H – PersonEntity: Name: NameFull: Zhu H IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: 2023 Feb Type: published Y: 2023 Identifiers: – Type: issn-print Value: 0008-6223 Numbering: – Type: volume Value: 204 Titles: – TitleFull: Carbon Type: main |
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