Approaches for Recognizing Disease Genes Based on Network
Joint Authors
Zou, Quan
Wang, Chunyu
Li, Jinjin
Zeng, Xiangxiang
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-24
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Diseases are closely related to genes, thus indicating that genetic abnormalities may lead to certain diseases.
The recognition of disease genes has long been a goal in biology, which may contribute to the improvement of health care and understanding gene functions, pathways, and interactions.
However, few large-scale gene-gene association datasets, disease-disease association datasets, and gene-disease association datasets are available.
A number of machine learning methods have been used to recognize disease genes based on networks.
This paper states the relationship between disease and gene, summarizes the approaches used to recognize disease genes based on network, analyzes the core problems and challenges of the methods, and outlooks future research direction.
American Psychological Association (APA)
Zou, Quan& Li, Jinjin& Wang, Chunyu& Zeng, Xiangxiang. 2014. Approaches for Recognizing Disease Genes Based on Network. BioMed Research International،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-470440
Modern Language Association (MLA)
Zou, Quan…[et al.]. Approaches for Recognizing Disease Genes Based on Network. BioMed Research International No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-470440
American Medical Association (AMA)
Zou, Quan& Li, Jinjin& Wang, Chunyu& Zeng, Xiangxiang. Approaches for Recognizing Disease Genes Based on Network. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-470440
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-470440