Prediction of protein subcellular location based on grey dynamic model coefficients
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- Type
- article
- Published
- 2008-06-25
- Cited by
- 2
- References
- 20
- OpenAlex
- https://openalex.org/W2118190319
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14044109
Keywords
Pseudo amino acid composition, Protein sequencing, Jackknife resampling, Subcellular localization, Computer science
References
- Application of Pseudo Amino Acid Composition for Predicting Protein Subcellular Location: Stochastic Signal Processing Approach
- Introduction to Grey system theory
- Using complexity measure factor to predict protein subcellular location
- Structural bioinformatics and its impact to biomedical science.
- Using cellular automata images and pseudo amino acid composition to predict protein subcellular location
- Subcellular location prediction of apoptosis proteins
- Control problems of grey systems
- Relation between amino acid composition and cellular location of proteins.
- Progress in protein structural class prediction and its impact to bioinformatics and proteomics.
- Prediction of the subcellular location of prokaryotic proteins based on a new representation of the amino acid composition.
- Prediction of protein structural classes and subcellular locations.
- Nearest neighbour algorithm for predicting protein subcellular location by combining functional domain composition and pseudo-amino acid composition.
- Protein subcellular location prediction.
- Prediction of protein subcellular locations using fuzzy k-NN method
- Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes
- Using pseudo amino acid composition to predict protein structural classes: Approached with complexity measure factor
- Predicting Protein Subcellular Localisation From Amino Acid Sequence Information
- Prediction of protein cellular attributes using pseudo‐amino acid composition
- Digital coding of amino acids based on hydrophobic index.
- Grey Differential Equation GM(1, 1) Modeling In Repairable System Modeling
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