Identifying novel glioma associated pathways based on systems biology level meta-analysis-Reference-Cited by-同舟云学术

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Identifying novel glioma associated pathways based on systems biology level meta-analysis

Published:2013 Issue:Suppl 2 Volume:7 Page:S9
ISSN:1752-0509
Container-title:BMC Systems Biology
language:en
Short-container-title:BMC Systems Biology

Author:

Hu Yangfan,Li Jinquan,Yan Wenying,Chen Jiajia,Li Yin,Hu Guang,Shen Bairong

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Modeling and Simulation,Structural Biology

Reference44 articles.

1. Systems biology for cancer

2. Systems Biology Reveals New Strategies for Personalizing Cancer Medicine and Confirms the Role of PTEN in Resistance to Trastuzumab

3. Deciphering the rules of ceRNA networks

4. Meta-analysis for pathway enrichment analysis when combining multiple genomic studies

5. Downregulation of RKIP Is Associated with Poor Outcome and Malignant Progression in Gliomas

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1. HOXC6 Regulates the Epithelial-Mesenchymal Transition through the TGF-β/Smad Signaling Pathway and Predicts a Poor Prognosis in Glioblastoma;Journal of Oncology;2022-05-05

2. Electrically Responsive Materials and Devices Directly Driven by the High Voltage of Triboelectric Nanogenerators;Advanced Functional Materials;2018-11-23

3. Cross-species transcriptional analysis reveals conserved and host-specific neoplastic processes in mammalian glioma;Scientific Reports;2018-01-19

4. Translational Bioinformatics for Cholangiocarcinoma: Opportunities and Challenges;International Journal of Biological Sciences;2018

5. ctPath: Demixing pathway crosstalk effect from transcriptomics data for differential pathway identification;Journal of Biomedical Informatics;2017-09

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