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Identification of Novel Thyroid Cancer-Related Genes and Chemicals Using Shortest Path Algorithm
Joint Authors
Jiang, Yang
Gao, Yu-Fei
Zhang, Peiwei
Gao, Ru-jian
He, Yi-Chun
Li, Li-Peng
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-22
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Thyroid cancer is a typical endocrine malignancy.
In the past three decades, the continued growth of its incidence has made it urgent to design effective treatments to treat this disease.
To this end, it is necessary to uncover the mechanism underlying this disease.
Identification of thyroid cancer-related genes and chemicals is helpful to understand the mechanism of thyroid cancer.
In this study, we generalized some previous methods to discover both disease genes and chemicals.
The method was based on shortest path algorithm and applied to discover novel thyroid cancer-related genes and chemicals.
The analysis of the final obtained genes and chemicals suggests that some of them are crucial to the formation and development of thyroid cancer.
It is indicated that the proposed method is effective for the discovery of novel disease genes and chemicals.
American Psychological Association (APA)
Jiang, Yang& Zhang, Peiwei& Li, Li-Peng& He, Yi-Chun& Gao, Ru-jian& Gao, Yu-Fei. 2015. Identification of Novel Thyroid Cancer-Related Genes and Chemicals Using Shortest Path Algorithm. BioMed Research International،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057406
Modern Language Association (MLA)
Jiang, Yang…[et al.]. Identification of Novel Thyroid Cancer-Related Genes and Chemicals Using Shortest Path Algorithm. BioMed Research International No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1057406
American Medical Association (AMA)
Jiang, Yang& Zhang, Peiwei& Li, Li-Peng& He, Yi-Chun& Gao, Ru-jian& Gao, Yu-Fei. Identification of Novel Thyroid Cancer-Related Genes and Chemicals Using Shortest Path Algorithm. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057406
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057406