بدائل البحث:
protein classification » protein quantification (توسيع البحث), emotion classification (توسيع البحث), improved classification (توسيع البحث)
based protein » capsid protein (توسيع البحث), based proteomics (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
binary b » binary _ (توسيع البحث)
b swarm » _ swarm (توسيع البحث)
protein classification » protein quantification (توسيع البحث), emotion classification (توسيع البحث), improved classification (توسيع البحث)
based protein » capsid protein (توسيع البحث), based proteomics (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
binary b » binary _ (توسيع البحث)
b swarm » _ swarm (توسيع البحث)
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Table_1_bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease.docx
منشور في 2023"…</p>Methods<p>This paper establishes a medical prediction model for the first time on the basis of the enhanced particle swarm optimization (SRWPSO) algorithm and the fuzzy K-nearest neighbor (FKNN), called bSRWPSO-FKNN, which is practiced on a dataset related to patients with AD. …"
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Data_Sheet_1_Deep Learning-Based Classification of GAD67-Positive Neurons Without the Immunosignal.pdf
منشور في 2021"…We then sought to detect GAD67-positive neurons without GAD67 immunosignals using a custom-made deep learning-based algorithm. Using this deep learning-based model, we succeeded in the binary classification of the neurons using Nissl and NeuN signals without referring to the GAD67 signals. …"
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Table1_Nucleotide-level prediction of CircRNA-protein binding based on fully convolutional neural network.XLSX
منشور في 2023"…</p><p>Methods: In this study, based on the deep learning models that implement pixel-level binary classification prediction in computer vision, we viewed the CircRNA-protein binding sites prediction as a nucleotide-level binary classification task, and use a fully convolutional neural networks to identify CircRNA-protein binding motif sites (CPBFCN).…"
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DataSheet1_Nucleotide-level prediction of CircRNA-protein binding based on fully convolutional neural network.PDF
منشور في 2023"…</p><p>Methods: In this study, based on the deep learning models that implement pixel-level binary classification prediction in computer vision, we viewed the CircRNA-protein binding sites prediction as a nucleotide-level binary classification task, and use a fully convolutional neural networks to identify CircRNA-protein binding motif sites (CPBFCN).…"
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Structure-based antibody paratope prediction with 3D Zernike descriptors and SVM
منشور في 2019"…Roto-translationally invariant descriptors are computed from circular patches of the antibody surface enriched with a chosen subset of physicochemical properties from the AAindex1 amino acid index set, and are used as samples for a binary classification problem. An SVM classifier is used to distinguish interface surface patches from non-interface ones. …"
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Image_1_A predictive model based on random forest for shoulder-hand syndrome.JPEG
منشور في 2023"…</p>Results<p>A binary classification model was trained based on 25 handpicked features. …"
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