Keywords: ترکیب اسید آمینه اسید; Submitochondrial locations; Pseudo-amino acid composition; Pseudo-position specific scoring matrix; Two-dimensional wavelet denoising; Support vector machine; Machine learning;
مقالات ISI ترکیب اسید آمینه اسید (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
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در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: ترکیب اسید آمینه اسید; Pupylated protein; Pupylation sites; Pseudo-amino acid composition; Extreme learning machine; Bioinformatics; PupS
In silico identification of Gram-negative bacterial secreted proteins from primary sequence
Keywords: ترکیب اسید آمینه اسید; Multi-classifier; Pseudo-amino acid composition; Sequence similarity network; Support vector machine
SecretP: A new method for predicting mammalian secreted proteins
Keywords: ترکیب اسید آمینه اسید; Auto covariance; Classically secreted proteins; Non-classically secreted proteins; Pseudo-amino acid composition; Support vector machine
SecretP: Identifying bacterial secreted proteins by fusing new features into Chou’s pseudo-amino acid composition
Keywords: ترکیب اسید آمینه اسید; Gram-negative bacteria; Gram-positive bacteria; Pseudo-amino acid composition; Support vector machine
Prediction protein structural classes with pseudo-amino acid composition: Approximate entropy and hydrophobicity pattern
Keywords: ترکیب اسید آمینه اسید; Protein structure classes; Pseudo-amino acid composition; Approximate entropy; Hydrophobicity pattern; Fuzzy KNN classifier;
Prediction of apoptosis protein subcellular location using improved hybrid approach and pseudo-amino acid composition
Keywords: ترکیب اسید آمینه اسید; Apoptosis protein; Subcellular location; Increment of diversity; Support vector machine; Pseudo-amino acid composition
Using pseudo-amino acid composition and support vector machine to predict protein structural class
Keywords: ترکیب اسید آمینه اسید; Support vector machine; Pseudo-amino acid composition; Protein structural class; Prediction;
Fuzzy KNN for predicting membrane protein types from pseudo-amino acid composition
Keywords: ترکیب اسید آمینه اسید; Fuzzy K-nearest neighbors; Pseudo-amino acid composition; Type-1; Type-2; Multi-pass transmembrane; Lipid chain-anchored; GPI-anchoredKNN, K-nearest neighbors; D, dimensional; AA, amino acid composition; PseAA, pseudo-amino acid composition; SLLE, supervi
Predicting protein structural class with pseudo-amino acid composition and support vector machine fusion network
Keywords: ترکیب اسید آمینه اسید; Support vector machine; Fusion; Amino acid composition; Pair-coupled amino acid composition; Pseudo-amino acid composition; Protein structural class
Using stacked generalization to predict membrane protein types based on pseudo-amino acid composition
Keywords: ترکیب اسید آمینه اسید; Stacking; Membrane protein types; Pseudo-amino acid composition; Support vector machine; Instance-based learning; Nonlinear combination
Pseudo amino acid composition and multi-class support vector machines approach for conotoxin superfamily classification
Keywords: ترکیب اسید آمینه اسید; Hypermutable mature conotoxin; Superfamily classification; Pseudo-amino acid composition; Polarity index; Support vector machines (SVMs)
Using optimized evidence-theoretic K-nearest neighbor classifier and pseudo-amino acid composition to predict membrane protein types
Keywords: ترکیب اسید آمینه اسید; Evidence theory; KNN classifier; Pseudo-amino acid composition; Type-I membrane protein; Type-II membrane protein; Multipass transmembrane protein; Lipid-chain-anchored membrane protein; GPI-anchored membrane protein;