Improved prediction of subcellular location for apoptosis proteins by the dual-layer support vector machine

Apoptosis proteins play an important role in the development and homeostasis of an organism. The accurate prediction of subcellular location for apoptosis proteins is very helpful for understanding the mechanism of apoptosis and their biological functions. However, most of the existing predictive me...

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Veröffentlicht in:	Amino acids 2008-08, Vol.35 (2), p.383-388
Hauptverfasser:	Zhou, X.-B, Chen, C, Li, Z.-C, Zou, X.-Y
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms amino acid composition Amino Acid Sequence Amino acids Amphiphilic pseudo amino acid composition Analytical Chemistry Apoptosis Apoptosis protein Apoptosis Regulatory Proteins - chemistry Artificial Intelligence Biochemical Engineering Biochemistry Biomedical and Life Sciences Cells Computational Biology - methods Computer Simulation Databases, Protein Dipeptide composition Dual-layer support vector machine Intracellular Space - chemistry Life Sciences Neurobiology Organisms Pattern Recognition, Automated - methods Position (location) Predictive Value of Tests Proteins Proteomics Subcellular location Support vector machines
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