Incorporating prior information in gene expression network-based cancer heterogeneity analysis.
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| Title: | Incorporating prior information in gene expression network-based cancer heterogeneity analysis. |
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| Authors: | Li R; Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven, 06511, CT, United States., Xu S; Center for Applied Statistics and School of Statistics, Renmin University of China, 59 Zhongguancun Street, 100872, Beijing, China., Li Y; Center for Applied Statistics and School of Statistics, Renmin University of China, 59 Zhongguancun Street, 100872, Beijing, China., Tang Z; Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharmaceuticals Inc., 900 Ridgebury Road, Ridgefield, 06877, CT, United States., Feng D; Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharmaceuticals Inc., 900 Ridgebury Road, Ridgefield, 06877, CT, United States., Cai J; Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharmaceuticals Inc., 900 Ridgebury Road, Ridgefield, 06877, CT, United States., Ma S; Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven, 06511, CT, United States. |
| Source: | Biostatistics (Oxford, England) [Biostatistics] 2025 Dec 31; Vol. 26 (1). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 100897327 Publication Model: Print Cited Medium: Internet ISSN: 1468-4357 (Electronic) Linking ISSN: 14654644 NLM ISO Abbreviation: Biostatistics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39074174 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Incorporating prior information in gene expression network-based cancer heterogeneity analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Li+R%22">Li R</searchLink>; Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven, 06511, CT, United States.<br /><searchLink fieldCode="AU" term="%22Xu+S%22">Xu S</searchLink>; Center for Applied Statistics and School of Statistics, Renmin University of China, 59 Zhongguancun Street, 100872, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; Center for Applied Statistics and School of Statistics, Renmin University of China, 59 Zhongguancun Street, 100872, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Tang+Z%22">Tang Z</searchLink>; Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharmaceuticals Inc., 900 Ridgebury Road, Ridgefield, 06877, CT, United States.<br /><searchLink fieldCode="AU" term="%22Feng+D%22">Feng D</searchLink>; Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharmaceuticals Inc., 900 Ridgebury Road, Ridgefield, 06877, CT, United States.<br /><searchLink fieldCode="AU" term="%22Cai+J%22">Cai J</searchLink>; Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharmaceuticals Inc., 900 Ridgebury Road, Ridgefield, 06877, CT, United States.<br /><searchLink fieldCode="AU" term="%22Ma+S%22">Ma S</searchLink>; Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven, 06511, CT, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22100897327%22">Biostatistics (Oxford, England)</searchLink> [Biostatistics] 2025 Dec 31; Vol. 26 (1). – 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="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100897327 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1468-4357 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214654644%22">14654644 </searchLink><i>NLM ISO Abbreviation: </i>Biostatistics <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39074174 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/biostatistics/kxae028 Languages: – Code: eng Text: English Titles: – TitleFull: Incorporating prior information in gene expression network-based cancer heterogeneity analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li R – PersonEntity: Name: NameFull: Xu S – PersonEntity: Name: NameFull: Li Y – PersonEntity: Name: NameFull: Tang Z – PersonEntity: Name: NameFull: Feng D – PersonEntity: Name: NameFull: Cai J – PersonEntity: Name: NameFull: Ma S IsPartOfRelationships: – BibEntity: Dates: – D: 31 M: 12 Text: 2025 Dec 31 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1468-4357 Numbering: – Type: volume Value: 26 – Type: issue Value: 1 Titles: – TitleFull: Biostatistics (Oxford, England) Type: main |
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