Differential Regulatory Analysis Based on Coexpression Network in Cancer Research
Joint Authors
Li, Yixue
Li, Junyi
Li, Yuan-Yuan
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-11
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
With rapid development of high-throughput techniques and accumulation of big transcriptomic data, plenty of computational methods and algorithms such as differential analysis and network analysis have been proposed to explore genome-wide gene expression characteristics.
These efforts are aiming to transform underlying genomic information into valuable knowledges in biological and medical research fields.
Recently, tremendous integrative research methods are dedicated to interpret the development and progress of neoplastic diseases, whereas differential regulatory analysis (DRA) based on gene coexpression network (GCN) increasingly plays a robust complement to regular differential expression analysis in revealing regulatory functions of cancer related genes such as evading growth suppressors and resisting cell death.
Differential regulatory analysis based on GCN is prospective and shows its essential role in discovering the system properties of carcinogenesis features.
Here we briefly review the paradigm of differential regulatory analysis based on GCN.
We also focus on the applications of differential regulatory analysis based on GCN in cancer research and point out that DRA is necessary and extraordinary to reveal underlying molecular mechanism in large-scale carcinogenesis studies.
American Psychological Association (APA)
Li, Junyi& Li, Yixue& Li, Yuan-Yuan. 2016. Differential Regulatory Analysis Based on Coexpression Network in Cancer Research. BioMed Research International،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1097700
Modern Language Association (MLA)
Li, Junyi…[et al.]. Differential Regulatory Analysis Based on Coexpression Network in Cancer Research. BioMed Research International No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1097700
American Medical Association (AMA)
Li, Junyi& Li, Yixue& Li, Yuan-Yuan. Differential Regulatory Analysis Based on Coexpression Network in Cancer Research. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1097700
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1097700