Sparse principal component analysis based on genome network for correcting cell type heterogeneity in epigenome-wide association studies-Reference-Cited by-同舟云学术

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Sparse principal component analysis based on genome network for correcting cell type heterogeneity in epigenome-wide association studies

Published:2022-07-04 Issue:9 Volume:60 Page:2601-2618
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Miao Rui,Dang Qi,Cai Jie,Huang Hai-Hui,Xie Sheng-Li,Liang Yong

Funder

Macau Science and Technology Development Funds Grands e Tecnologia do Estado de Mato Grosso do Sul

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11517-022-02599-9.pdf

Reference54 articles.

1. Flanagan JM (2015) Epigenome-wide association studies (EWAS): past, present, and future. Cancer Epigenetics: Springer:51–63

2. Verma M (2012) Epigenome-wide association studies (EWAS) in cancer. Curr Genomics 13(4):308–313

3. Michels KB et al (2013) Recommendations for the design and analysis of epigenome-wide association studies. Nat Methods 10(10):949

4. Braun KV et al (2017) Epigenome-wide association study (EWAS) on lipids: the Rotterdam Study. Clin Epigenetics 9(1):1–11

5. Johansson A, Flanagan JM (2017) Epigenome-wide association studies for breast cancer risk and risk factors. Trends Cancer Res 12:19

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