Briefing in Application of Machine Learning Methods in Ion Channel Prediction

Joint Authors

Lin, Hao
Chen, Wei

Source

The Scientific World Journal

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