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Asymmetric integration of various cancer datasets for identifying risk-associated variants and genes.

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Title: Asymmetric integration of various cancer datasets for identifying risk-associated variants and genes.
Authors: Wang R; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, United States., Tran L; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, United States., Brennan B; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, United States., Fritsche LG; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, United States.; Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, United States., He K; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, United States., Brenner JC; Department of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, MI 48109, United States., Jiang H; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, United States.; Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, United States.
Source: Bioinformatics advances [Bioinform Adv] 2025 Oct 14; Vol. 5 (1), pp. vbaf253. Date of Electronic Publication: 2025 Oct 14 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9918282081306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2635-0041 (Electronic) Linking ISSN: 26350041 NLM ISO Abbreviation: Bioinform Adv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Wang+R%22">Wang R</searchLink>; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, United States.<br /><searchLink fieldCode="AU" term="%22Tran+L%22">Tran L</searchLink>; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, United States.<br /><searchLink fieldCode="AU" term="%22Brennan+B%22">Brennan B</searchLink>; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, United States.<br /><searchLink fieldCode="AU" term="%22Fritsche+LG%22">Fritsche LG</searchLink>; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, United States.; Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, United States.<br /><searchLink fieldCode="AU" term="%22He+K%22">He K</searchLink>; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, United States.<br /><searchLink fieldCode="AU" term="%22Brenner+JC%22">Brenner JC</searchLink>; Department of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, MI 48109, United States.<br /><searchLink fieldCode="AU" term="%22Jiang+H%22">Jiang H</searchLink>; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, United States.; Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, United States.
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  Data: <searchLink fieldCode="JN" term="%229918282081306676%22">Bioinformatics advances</searchLink> [Bioinform Adv] 2025 Oct 14; Vol. 5 (1), pp. vbaf253. <i>Date of Electronic Publication: </i>2025 Oct 14 (<i>Print Publication: </i>2025).
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