Identifying disease‐associated copy number variations by a doubly penalized regression model-Reference-Cited by-同舟云学术

Identifying disease‐associated copy number variations by a doubly penalized regression model

Published:2018-06-12 Issue:4 Volume:74 Page:1341-1350
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Cheng Yichen¹^ORCID,Dai James Y.²^ORCID,Wang Xiaoyu²,Kooperberg Charles²

Affiliation:

1. Institute for Insight, Georgia State UniversityAtlantaGeorgiaU.S.A.

2. Public Health Sciences Division, Fred Hutchinson Cancer Research CenterSeattleWashingtonU.S.A.

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.12920

Reference35 articles.

1. Allele Loss on Chromosome 1p36 in Epithelial Ovarian Cancers

2. Systematic identification of cancer driving signaling pathways based on mutual exclusivity of genomic alterations

3. A robust statistical method for case-control association testing with copy number variation

4. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

5. RPS6KA2, a putative tumour suppressor gene at 6q27 in sporadic epithelial ovarian cancer

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