Network‐based method for detecting dysregulated pathways in glioblastoma cancer-Reference-Cited by-同舟云学术

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Network‐based method for detecting dysregulated pathways in glioblastoma cancer

Published:2018-02 Issue:1 Volume:12 Page:39-44
ISSN:1751-8849
Container-title:IET Systems Biology
language:en
Short-container-title:IET syst. biol.

Author:

Wu Hao¹,Dong Jihua²,Wei Jicheng¹

Affiliation:

1. College of Information EngineeringNorthwest A&F UniversityYangling712100ShaanxiPeople's Republic of China

2. Department of Foreign LanguagesNorthwest A&F UniversityYangling712100ShaanxiPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Cell Biology,Genetics,Molecular Biology,Modelling and Simulation,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-syb.2017.0033

Reference21 articles.

1. Identification of mutated core cancer modules by integrating somatic mutation, copy number variation, and gene expression data;Zhang J.;BMC Syst. Biol.,2013

2. Identifying dysregulated pathways in cancers from pathway interaction networks;Liu K.Q.;BMC Bioinf.,2012

3. Integrating mutation and gene expression cross‐sectional data to infer cancer progression;Fleck J.L.;BMC Syst. Biol.,2016

4. Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples;Yu X.;BMC Genomics,2015

5. Simultaneous identification of multiple driver pathways in cancer;Leiserson M.D.;PLoS Comput. Biol.,2013

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