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A Graphic Method for Identification of Novel Glioma Related Genes
Joint Authors
Jiang, Yang
Gao, Yu-Fei
Shu, Yang
He, Yi-Chun
Huang, Guohua
Li, Hai-Peng
Yang, Lei
Li, Li-Peng
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-23
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Glioma, as the most common and lethal intracranial tumor, is a serious disease that causes many deaths every year.
Good comprehension of the mechanism underlying this disease is very helpful to design effective treatments.
However, up to now, the knowledge of this disease is still limited.
It is an important step to understand the mechanism underlying this disease by uncovering its related genes.
In this study, a graphic method was proposed to identify novel glioma related genes based on known glioma related genes.
A weighted graph was constructed according to the protein-protein interaction information retrieved from STRING and the well-known shortest path algorithm was employed to discover novel genes.
The following analysis suggests that some of them are related to the biological process of glioma, proving that our method was effective in identifying novel glioma related genes.
We hope that the proposed method would be applied to study other diseases and provide useful information to medical workers, thereby designing effective treatments of different diseases.
American Psychological Association (APA)
Gao, Yu-Fei& Shu, Yang& Yang, Lei& He, Yi-Chun& Li, Li-Peng& Huang, Guohua…[et al.]. 2014. A Graphic Method for Identification of Novel Glioma Related Genes. BioMed Research International،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-505890
Modern Language Association (MLA)
Gao, Yu-Fei…[et al.]. A Graphic Method for Identification of Novel Glioma Related Genes. BioMed Research International No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-505890
American Medical Association (AMA)
Gao, Yu-Fei& Shu, Yang& Yang, Lei& He, Yi-Chun& Li, Li-Peng& Huang, Guohua…[et al.]. A Graphic Method for Identification of Novel Glioma Related Genes. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-505890
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505890