Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach
DOI10.1016/j.jtbi.2009.03.028zbMath1402.92193OpenAlexW1976133477WikidataQ39990279 ScholiaQ39990279MaRDI QIDQ1624362
Yan-zhi Guo, Yu-hong Zeng, Rong-quan Xiao, Meng-long Li, Le-zheng Yu, Li Yang
Publication date: 16 November 2018
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jtbi.2009.03.028
support vector machineauto covarianceChou's pseudo amino acid compositionmembrane protein typesubmitochondria location
Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40) Cell biology (92C37)
Related Items (37)
Uses Software
Cites Work
- Unnamed Item
- The modified Mahalanobis discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition
- Support vector machines for prediction of protein domain structural class
- Prediction of apoptosis protein subcellular location using improved hybrid approach and pseudo-amino acid composition
- Using Chou's amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes
This page was built for publication: Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach