Revealing cancer subtypes with higher-order correlations applied to imaging and omics data-Reference-Cited by-同舟云学术

Revealing cancer subtypes with higher-order correlations applied to imaging and omics data

Published:2017-03-31 Issue:1 Volume:10 Page:
ISSN:1755-8794
Container-title:BMC Medical Genomics
language:en
Short-container-title:BMC Med Genomics

Author:

Graim Kiley,Liu Tiffany Ting,Achrol Achal S.,Paull Evan O.,Newton Yulia,Chang Steven D.,Harsh Griffith R.,Cordero Sergio P.,Rubin Daniel L.,Stuart Joshua M.

Funder

National Institute of General Medical Sciences

National Cancer Institute

Agilent Technologies

National Human Genome Research Institute

Prostate Cancer Foundation

Stand Up To Cancer

Publisher

Springer Science and Business Media LLC

Subject

Genetics (clinical),Genetics

Link

http://link.springer.com/content/pdf/10.1186/s12920-017-0256-3.pdf

Reference41 articles.

1. Bilal E, Dutkowski J, Guinney J, Jang IS, Logsdon BA, Pandey G, et al. Improving breast cancer survival analysis through competition-based multidimensional modeling. PLoS Comput Biol. 2013;9:e1003047.

2. Hoadley KA, Yau C, Wolf DM, Cherniack AD, Tamborero D, Ng S, et al. Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin. Cell. 2014;158:929–44.

3. Leiserson MDM, Reyna MA, Raphael BJ. A weighted exact test for mutually exclusive mutations in cancer. Bioinformatics. 2016;32:i736–45.

4. Liu TT, Achrol AS, Mitchell LA, Du WA, Loya JJ, Rodriguez SA, et al. Computational identification of tumor anatomic location associated with survival in 2 large cohorts of human primary glioblastomas. AJNR Am J Neuroradiol. 2016;37:621–8.

5. Girvan M, Newman MEJ. Community structure in social and biological networks. Proc Natl Acad Sci U S A. 2002;99:7821–6.

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Heterogeneity of Glycolytic Phenotype Determined by 18F-FDG PET/CT Using Coefficient of Variation in Patients with Advanced Non-Small Cell Lung Cancer;Diagnostics;2023-07-22

2. The Biological Meaning of Radiomic Features;Radiology;2021-03

3. Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification;IEEE Transactions on Cybernetics;2021

4. Nature-inspired multiobjective patient stratification from cancer gene expression data;Information Sciences;2020-07

5. Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction;Scientific Reports;2020-02-27