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Similar Items: Graph autoencoders and community detection algorithms to improve polymorphic identification

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Keyword search on incomplete graphs based on an improved aggregation mechanism and graph autoencoder
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Graph Attention Networks for Detecting Epilepsy From EEG Signals Using Accessible Hardware in Low-Resource Settings
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Lancet2: Improved and accelerated somatic variant calling with joint multi-sample local assembly graphs
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agtools: a software framework to manipulate assembly graphs
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Genetic Diversity of the Mango Plant Based on Rapd Marks: Random Amplification of Polymorphic DNA
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Investigating the association of NBN gene polymorphisms with multiple cancers through statistical meta-analysis and bioinformatics insights
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YOLO-VML: An Improved Object Detection Model for Blastomeres and Pronuclei Localization in IoMT
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General-purpose topology-aware embedding of tumor phylogenetic trees with graph neural networks
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On the discovery of a new polymorphic Happy-Face Spider (Araneae, Theridiidae) from the Western Himalayas, India, with notes on its natural history
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Accurate proteome-wide prediction of enzymes and catalytic sites using graph deep learning and protein language model
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Ensemble Algorithm for Simulated Corrosion Data-tentative
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TF-DWGNet: a directed weighted graph neural network with tensor fusion for multi-omics cancer subtype classification
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Multi-DDA: drug–disease association prediction using a hybrid graph convolutional network with multi-modal drug representations
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DisSNPNet: Predicting disease-associated single-nucleotide polymorphisms using linkage disequilibrium, disease similarity, and 1000 Genomes Project datasets with evidence-based validation
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The genetic basis of plumage polymorphism in the black sparrowhawk
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Accurate prediction of candidate lncRNAs associated with DNA damage response based on gene expression patterns from graph neural networks
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iLDA‐SGCN: Identifying Associations Between Age‐Related Diseases and Long Non‐Coding RNAs Using Dual Graph Convolutional Networks
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The CCU Disease Hunters: Putting Undergraduate Research to Work to Improve Community Health and Training the Next Generation of Doctors
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New algorithms for unsupervised cell clustering from scRNA-seq data
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A mechanistic approach to understanding the colour polymorphism in black sparrowhawks (Accipiter melanoleucus)
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Pests and diseases of crapemyrtle (Myrtales: Lythraceae): identification and management strategies
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Nanomaterial-based biosensors for biological detections
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Quantitative Analysis of the Impact of Region of Interest Information on Deep Learning Algorithms for Thyroid Ultrasound Imaging
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Viral diversity, ecological interconnectedness, and the identification of mammalian chuviruses in Australian microbats