Prediction of Protein Essentiality by the Support Vector Machine with Statistical Tests
Essential proteins include the minimum required set of proteins to support cell life. Identifying essential proteins is important for understanding the cellular processes of an organism. However, identifying essential proteins experimentally is extremely time-consuming and labor-intensive. Alternati...
Main Authors: | Chiou-Yi Hor, Chang-Biau Yang, Zih-Jie Yang, Chiou-Ting Tseng |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2013-01-01
|
Series: | Evolutionary Bioinformatics |
Online Access: | https://doi.org/10.4137/EBO.S11975 |
Similar Items
-
Prediction of Protein Essentiality by the Support Vector Machine with Statistical Tests
by: Chiou-Ting Tseng, et al.
Published: (2013-10-01) -
Prediction for the Essential Protein with the Support Vector Machine
by: Zih-Jie Yang, et al.
Published: (2011) -
A Tool Preference Choice Method for RNA Secondary Structure Prediction by SVM with Statistical Tests
by: Chiou-Yi Hor, et al.
Published: (2013-01-01) -
A Tool Preference Choice Method for RNA Secondary Structure Prediction by SVM with Statistical Tests
by: Chiou-Yi Hor, et al.
Published: (2013-04-01) -
Prediction of Protein–Protein Interaction with Pairwise Kernel Support Vector Machine
by: Shao-Wu Zhang, et al.
Published: (2014-02-01)