Briefing in Application of Machine Learning Methods in Ion Channel Prediction
Joint Authors
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-16
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
In cells, ion channels are one of the most important classes of membrane proteins which allow inorganic ions to move across the membrane.
A wide range of biological processes are involved and regulated by the opening and closing of ion channels.
Ion channels can be classified into numerous classes and different types of ion channels exhibit different functions.
Thus, the correct identification of ion channels and their types using computational methods will provide in-depth insights into their function in various biological processes.
In this review, we will briefly introduce and discuss the recent progress in ion channel prediction using machine learning methods.
American Psychological Association (APA)
Lin, Hao& Chen, Wei. 2015. Briefing in Application of Machine Learning Methods in Ion Channel Prediction. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1079311
Modern Language Association (MLA)
Lin, Hao& Chen, Wei. Briefing in Application of Machine Learning Methods in Ion Channel Prediction. The Scientific World Journal No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1079311
American Medical Association (AMA)
Lin, Hao& Chen, Wei. Briefing in Application of Machine Learning Methods in Ion Channel Prediction. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1079311
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1079311