Incorporating prior information in gene expression network-based cancer heterogeneity analysis.

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Bibliographic Details
Title: Incorporating prior information in gene expression network-based cancer heterogeneity analysis.
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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ISSN:1468-4357
DOI:10.1093/biostatistics/kxae028