Asymmetric integration of various cancer datasets for identifying risk-associated variants and genes.
Saved in:
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2635-0041 |
|---|---|
| DOI: | 10.1093/bioadv/vbaf253 |
