The final experimental results show the prediction performance of the proposed ensemble classifier is better than all base classifiers. The overall accuracies ...
Khan, “Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition,” Journal of Theoretical Biology ...
Membrane proteins are vitally important for many biological processes and have become an attractive target for both basic research and drug design.
Membrane proteins are vitally important for many biological processes and have become an attractive target for both basic research and drug design.
Missing: ensemble | Show results with:ensemble
... last, we construct an ensemble method based on stacked generalization to predict membrane protein types. The flow chart of ensemble method in this paper is ...
Using stacked generalization to predict membrane protein types based on pseudo-amino acid composition. · Computer Science, Biology. Journal of Theoretical ...
Feb 12, 2022 · We describe an ensemble machine learning methodology and algorithm for predicting membrane-penetrating amino acids.
In this paper, a novel classifier, the so-called "ensemble classifier", was introduced. It is formed by fusing a set of nearest neighbor (NN) classifiers, each ...
A new ensemble approach for PPI prediction, which learns information from two modalities, corresponding to pairs of sequences and to the graph formed by the ...
[PDF] Prediction of Membrane Protein Types Using Pseudo-Amino Acid ... - IJCEE
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Abstract—Predicting membrane protein types is an important and challenging research in current molecular and cellular biology. The knowledge of membrane ...