Correlation heatmap of performance scores among different feature selection algorithms: bOcOA, bPSO, bGWO, bFA, bGA, and bWAO. حسب Doaa Sami Khafaga (21463870)

Density distribution plot of performance metrics for various feature selection algorithms: bOcOA, bPSO, bGWO, bFA, bGA, and bWAO. حسب Doaa Sami Khafaga (21463870)

Presentation_1_Classification of expert-level therapeutic decisions for degenerative cervical myelopathy using ensemble machine learning algorithms.pdf حسب Dougho Park (9566450)

Classification baseline performance. حسب Doaa Sami Khafaga (21463870)

Feature selection results. حسب Doaa Sami Khafaga (21463870)

ANOVA test result. حسب Doaa Sami Khafaga (21463870)

Summary of literature review. حسب Doaa Sami Khafaga (21463870)

Experimental observation of gastruloids and shape quantification using LOCO-EFA. حسب Martijn A. de Jong (17896732)

Data_Sheet_1_Deep Learning-Based Classification of GAD67-Positive Neurons Without the Immunosignal.pdf حسب Kotaro Yamashiro (10502753)

"…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. …"

UK Biobank data wrangling statistics and results. حسب Simeone Marino (81051)

Table1_Nucleotide-level prediction of CircRNA-protein binding based on fully convolutional neural network.XLSX حسب Zhen Shen (393133)

"…</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).…"

DataSheet1_Nucleotide-level prediction of CircRNA-protein binding based on fully convolutional neural network.PDF حسب Zhen Shen (393133)

"…</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).…"

Super.Complex identifies likely protein complexes within a PPI network using a distributed supervised AutoML method. حسب Meghana Venkata Palukuri (11890672)

Accessibility of translation initiation sites is the strongest predictor of heterologous protein expression in <i>E. coli</i>. حسب Bikash K. Bhandari (11524776)

Influence of underlying networks on the performance of Graph CNNs trained gene expression data. حسب Halima Alachram (11570633)

Influence of underlying networks on the performance of Graph CNNs trained gene expression data. حسب Halima Alachram (11570633)

Influence of underlying networks on the performance of Graph CNNs trained gene expression data. حسب Halima Alachram (11570633)

Influence of underlying networks on the performance of Graph-CNNs trained gene expression data. حسب Halima Alachram (11570633)

Structure-based antibody paratope prediction with 3D Zernike descriptors and SVM حسب Sebastian Daberdaku (4391767)

"…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. …"

Image_1_A predictive model based on random forest for shoulder-hand syndrome.JPEG حسب Suli Yu (14947807)

"…</p>Results<p>A binary classification model was trained based on 25 handpicked features. …"