Visualizing novel connections and genetic similarities across diseases using a network-medicine based approach.
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| Title: | Visualizing novel connections and genetic similarities across diseases using a network-medicine based approach. |
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| Authors: | Ferolito B; VA Boston Healthcare System, Massachusetts Veterans Epidemiology and Research Information Center, (MAVERIC), 150 S. Huntington Avenue, Boston, 02130, USA. brian.ferolito@va.gov., do Valle IF; VA Boston Healthcare System, Massachusetts Veterans Epidemiology and Research Information Center, (MAVERIC), 150 S. Huntington Avenue, Boston, 02130, USA.; Center for Complex Network Research, Department of Physics, Northeastern University, Boston, 02115, USA., Gerlovin H; VA Boston Healthcare System, Massachusetts Veterans Epidemiology and Research Information Center, (MAVERIC), 150 S. Huntington Avenue, Boston, 02130, USA., Costa L; VA Boston Healthcare System, Massachusetts Veterans Epidemiology and Research Information Center, (MAVERIC), 150 S. Huntington Avenue, Boston, 02130, USA., Casas JP; VA Boston Healthcare System, Massachusetts Veterans Epidemiology and Research Information Center, (MAVERIC), 150 S. Huntington Avenue, Boston, 02130, USA.; Brigham and Women's Hospital, Division of Aging, Department of Medicine, Harvard Medical School, Boston, 02115, USA., Gaziano JM; VA Boston Healthcare System, Massachusetts Veterans Epidemiology and Research Information Center, (MAVERIC), 150 S. Huntington Avenue, Boston, 02130, USA.; Brigham and Women's Hospital, Division of Aging, Department of Medicine, Harvard Medical School, Boston, 02115, USA., Gagnon DR; VA Boston Healthcare System, Massachusetts Veterans Epidemiology and Research Information Center, (MAVERIC), 150 S. Huntington Avenue, Boston, 02130, USA.; School of Public Health, Department of Biostatistics, Boston University, Boston, 02215, USA., Begoli E; Oak Ridge National Laboratory, Oak Ridge, 37830, USA., Barabási AL; Center for Complex Network Research, Department of Physics, Northeastern University, Boston, 02115, USA., Cho K; VA Boston Healthcare System, Massachusetts Veterans Epidemiology and Research Information Center, (MAVERIC), 150 S. Huntington Avenue, Boston, 02130, USA.; Brigham and Women's Hospital, Division of Aging, Department of Medicine, Harvard Medical School, Boston, 02115, USA. |
| Source: | Scientific reports [Sci Rep] 2022 Sep 01; Vol. 12 (1), pp. 14914. Date of Electronic Publication: 2022 Sep 01. |
| Publication Type: | Journal Article; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36050444 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Visualizing novel connections and genetic similarities across diseases using a network-medicine based approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ferolito+B%22">Ferolito B</searchLink>; VA Boston Healthcare System, Massachusetts Veterans Epidemiology and Research Information Center, (MAVERIC), 150 S. Huntington Avenue, Boston, 02130, USA. brian.ferolito@va.gov.<br /><searchLink fieldCode="AU" term="%22do+Valle+IF%22">do Valle IF</searchLink>; VA Boston Healthcare System, Massachusetts Veterans Epidemiology and Research Information Center, (MAVERIC), 150 S. Huntington Avenue, Boston, 02130, USA.; Center for Complex Network Research, Department of Physics, Northeastern University, Boston, 02115, USA.<br /><searchLink fieldCode="AU" term="%22Gerlovin+H%22">Gerlovin H</searchLink>; VA Boston Healthcare System, Massachusetts Veterans Epidemiology and Research Information Center, (MAVERIC), 150 S. Huntington Avenue, Boston, 02130, USA.<br /><searchLink fieldCode="AU" term="%22Costa+L%22">Costa L</searchLink>; VA Boston Healthcare System, Massachusetts Veterans Epidemiology and Research Information Center, (MAVERIC), 150 S. Huntington Avenue, Boston, 02130, USA.<br /><searchLink fieldCode="AU" term="%22Casas+JP%22">Casas JP</searchLink>; VA Boston Healthcare System, Massachusetts Veterans Epidemiology and Research Information Center, (MAVERIC), 150 S. Huntington Avenue, Boston, 02130, USA.; Brigham and Women's Hospital, Division of Aging, Department of Medicine, Harvard Medical School, Boston, 02115, USA.<br /><searchLink fieldCode="AU" term="%22Gaziano+JM%22">Gaziano JM</searchLink>; VA Boston Healthcare System, Massachusetts Veterans Epidemiology and Research Information Center, (MAVERIC), 150 S. Huntington Avenue, Boston, 02130, USA.; Brigham and Women's Hospital, Division of Aging, Department of Medicine, Harvard Medical School, Boston, 02115, USA.<br /><searchLink fieldCode="AU" term="%22Gagnon+DR%22">Gagnon DR</searchLink>; VA Boston Healthcare System, Massachusetts Veterans Epidemiology and Research Information Center, (MAVERIC), 150 S. Huntington Avenue, Boston, 02130, USA.; School of Public Health, Department of Biostatistics, Boston University, Boston, 02215, USA.<br /><searchLink fieldCode="AU" term="%22Begoli+E%22">Begoli E</searchLink>; Oak Ridge National Laboratory, Oak Ridge, 37830, USA.<br /><searchLink fieldCode="AU" term="%22Barabási+AL%22">Barabási AL</searchLink>; Center for Complex Network Research, Department of Physics, Northeastern University, Boston, 02115, USA.<br /><searchLink fieldCode="AU" term="%22Cho+K%22">Cho K</searchLink>; VA Boston Healthcare System, Massachusetts Veterans Epidemiology and Research Information Center, (MAVERIC), 150 S. Huntington Avenue, Boston, 02130, USA.; Brigham and Women's Hospital, Division of Aging, Department of Medicine, Harvard Medical School, Boston, 02115, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2022 Sep 01; Vol. 12 (1), pp. 14914. <i>Date of Electronic Publication: </i>2022 Sep 01. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, U.S. Gov't, Non-P.H.S. – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36050444 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-022-19244-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 14914 Titles: – TitleFull: Visualizing novel connections and genetic similarities across diseases using a network-medicine based approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ferolito B – PersonEntity: Name: NameFull: do Valle IF – PersonEntity: Name: NameFull: Gerlovin H – PersonEntity: Name: NameFull: Costa L – PersonEntity: Name: NameFull: Casas JP – PersonEntity: Name: NameFull: Gaziano JM – PersonEntity: Name: NameFull: Gagnon DR – PersonEntity: Name: NameFull: Begoli E – PersonEntity: Name: NameFull: Barabási AL – PersonEntity: Name: NameFull: Cho K IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2022 Sep 01 Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 12 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
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