Network analysis of aging acceleration reveals systematic properties of 11 types of cancers-Reference-Cited by-同舟云学术

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Network analysis of aging acceleration reveals systematic properties of 11 types of cancers

Published:2019-06-24 Issue:7 Volume:9 Page:1292-1304
ISSN:2211-5463
Container-title:FEBS Open Bio
language:en
Short-container-title:FEBS Open Bio

Author:

Xia Xiaoqiong¹,Zhou Mengyu¹,Yan Hao¹,Li Sijia¹,Sha Xianzheng¹,Wang Yin¹²

Affiliation:

1. Department of Biomedical Engineering School of Fundamental Sciences China Medical University Shenyang China

2. Tumor Etiology and Screening Department of Cancer Institute and General Surgery The First Affiliated Hospital of China Medical University Shenyang China

Funder

China Postdoctoral Science Foundation

Publisher

Wiley

Subject

General Biochemistry, Genetics and Molecular Biology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2211-5463.12679

Reference48 articles.

1. Worldwide burden of colorectal cancer: a review

2. Pan-cancer survey of epithelial-mesenchymal transition markers across the Cancer Genome Atlas

3. Insertion-and-deletion-derived tumour-specific neoantigens and the immunogenic phenotype: a pan-cancer analysis

4. Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer

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1. Network analysis with biological data of cancer patients: A scoping review;Journal of Biomedical Informatics;2021-08

2. Efficient Multitask Multiple Kernel Learning With Application to Cancer Research;IEEE Transactions on Cybernetics;2021

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