Predictive modeling of gene mutations for the survival outcomes of epithelial ovarian cancer patients.
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| Title: | Predictive modeling of gene mutations for the survival outcomes of epithelial ovarian cancer patients. |
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| Authors: | Ma MC; Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, Connecticut, United States of America., Lavi ES; Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, Connecticut, United States of America., Altwerger G; Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, Connecticut, United States of America., Lin ZP; Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, Connecticut, United States of America., Ratner ES; Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, Connecticut, United States of America. |
| Source: | PloS one [PLoS One] 2024 Jul 08; Vol. 19 (7), pp. e0305273. Date of Electronic Publication: 2024 Jul 08 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38976671 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predictive modeling of gene mutations for the survival outcomes of epithelial ovarian cancer patients. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ma+MC%22">Ma MC</searchLink>; Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, Connecticut, United States of America.<br /><searchLink fieldCode="AU" term="%22Lavi+ES%22">Lavi ES</searchLink>; Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, Connecticut, United States of America.<br /><searchLink fieldCode="AU" term="%22Altwerger+G%22">Altwerger G</searchLink>; Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, Connecticut, United States of America.<br /><searchLink fieldCode="AU" term="%22Lin+ZP%22">Lin ZP</searchLink>; Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, Connecticut, United States of America.<br /><searchLink fieldCode="AU" term="%22Ratner+ES%22">Ratner ES</searchLink>; Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, Connecticut, United States of America. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2024 Jul 08; Vol. 19 (7), pp. e0305273. <i>Date of Electronic Publication: </i>2024 Jul 08 (<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="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101285081 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-6203 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219326203%22">19326203 </searchLink><i>NLM ISO Abbreviation: </i>PLoS One <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38976671 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0305273 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e0305273 Titles: – TitleFull: Predictive modeling of gene mutations for the survival outcomes of epithelial ovarian cancer patients. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ma MC – PersonEntity: Name: NameFull: Lavi ES – PersonEntity: Name: NameFull: Altwerger G – PersonEntity: Name: NameFull: Lin ZP – PersonEntity: Name: NameFull: Ratner ES IsPartOfRelationships: – BibEntity: Dates: – D: 08 M: 07 Text: 2024 Jul 08 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1932-6203 Numbering: – Type: volume Value: 19 – Type: issue Value: 7 Titles: – TitleFull: PloS one Type: main |
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