Proceedings of the 3rd International Conference on Computer Science and Service System

Progress in Machine Learning-based Predicting Subcellular Localizations of Proteins with Multiple Sites

Authors
Qiao Shanping
Corresponding Author
Qiao Shanping
Available Online June 2014.
DOI
https://doi.org/10.2991/csss-14.2014.85How to use a DOI?
Keywords
protein subcellular localization; dataset; feature extraction; predicting algorithm; validation test
Abstract

Prediction of protein subcellular localizations is a key step to determinate the functions of proteins. The experimental methods are both expensive and time-consuming. Therefore, many machine learning based computational approaches were proposed in the last two decades. Recently, it is proved that the number of proteins with multiple sites is rising. To determinate the subcellular localizations of this kind of proteins is a more difficult problem. Generally, dataset construction, feature representation, algorithm design and validation test are the four main aspects need to be considered in developing the predicting algorithms. This paper reviewed these four topics in detail. Although a great success has been got by many researchers, there are still a lot of problems need to study deeply.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Computer Science and Service System
Series
Advances in Intelligent Systems Research
Publication Date
June 2014
ISBN
10.2991/csss-14.2014.85
ISSN
1951-6851
DOI
https://doi.org/10.2991/csss-14.2014.85How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qiao Shanping
PY  - 2014/06
DA  - 2014/06
TI  - Progress in Machine Learning-based Predicting Subcellular Localizations of Proteins with Multiple Sites
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 362
EP  - 365
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.85
DO  - https://doi.org/10.2991/csss-14.2014.85
ID  - Shanping2014/06
ER  -