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In this study, we present a novel method APCpred for linear B-cell epitope prediction, which was derived from the combination of amino acid anchoring pair composition (APC) and Support Vector Machine (SVMs) methods using diverse lengths of peptides (12 to 20-mers).
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13 The diverse lengths of the identified miRNAs possibly suggest unique roles for modulation of miRNA biogenesis or gene expression.
Moreover, a different approach is employed for evaluation of surface topography using diverse roughness parameters.
Remember to use diverse choices of words, phrases, and dialogue.
We trained a series of SVM classifiers employing Bayes Feature Extraction to predict cleavage sites using sequence windows of diverse lengths and compositions.
We trained a series of support vector machines (SVM) classifiers employing Bayes Feature Extraction to predict cleavage sites using sequence windows of diverse lengths and compositions.
The structure of chromosomes is regulated throughout their length using a diverse range of strategies.
Here, we trained a series of SVM classifiers on sequence windows of diverse lengths and compositions (P4P1', P4P2, P4P2, P4P4', P6P6', P8P8', P10P10' and P14P10') using simple binary encoding and BFE schemes (details in Materials and Methods).
We constructed SVM classifiers for peptides of diverse lengths from the EL-Manzalawy dataset (12- to 20-mers) using simple binary encoding or BFE schemes (detailed in the Materials and Methods).
Related protein domains of a superfamily can be specified by proteins of diverse lengths.
We developed a SVM prediction model employing Bayes Feature Extraction to predict linear B-cell epitopes of diverse lengths.
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