Cancer Transcriptome Dataset Analysis: Comparing Methods of Pathway and Gene Regulatory Network-Based Cluster Identification-Reference-Cited by-同舟云学术

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Cancer Transcriptome Dataset Analysis: Comparing Methods of Pathway and Gene Regulatory Network-Based Cluster Identification

Published:2017-04 Issue:4 Volume:21 Page:217-224
ISSN:1557-8100
Container-title:OMICS: A Journal of Integrative Biology
language:en
Short-container-title:OMICS: A Journal of Integrative Biology

Author:

Nam Seungyoon¹²³

Affiliation:

1. Department of Genome Medicine and Science, College of Medicine, Gachon University, Incheon, Korea.

2. Department of Life Sciences, Gachon University, Seongnam, Korea.

3. Gachon Institute of Genome Medicine and Science, Gachon University Gil Medical Center, Incheon, Korea.

Publisher

Mary Ann Liebert Inc

Subject

Genetics,Molecular Biology,Molecular Medicine,Biochemistry,Biotechnology

Link

http://www.liebertpub.com/doi/pdf/10.1089/omi.2016.0169

Reference54 articles.

1. Phylogenetic Modeling of Heterogeneous Gene-Expression Microarray Data from Cancerous Specimens

2. Computing topological parameters of biological networks

3. Cross-Species Regulatory Network Analysis Identifies a Synergistic Interaction between FOXM1 and CENPF that Drives Prostate Cancer Malignancy

4. Trastuzumab in combination with chemotherapy versus chemotherapy alone for treatment of HER2-positive advanced gastric or gastro-oesophageal junction cancer (ToGA): a phase 3, open-label, randomised controlled trial

5. Network biology: understanding the cell's functional organization

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3. Genetic Susceptibility for Cervical Cancer in African Populations: What Are the Host Genetic Drivers?;OMICS: A Journal of Integrative Biology;2018-07

4. Rebooting Bioresilience: A Multi-OMICS Approach to Tackle Global Catastrophic Biological Risks and Next-Generation Biothreats;OMICS: A Journal of Integrative Biology;2018-01

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