Results 1 to 10 of about 493,316 (299)

De novo Prediction of Moonlighting Proteins Using Multimodal Deep Ensemble Learning

Frontiers in Genetics, 2021
Moonlighting proteins (MPs) are a special type of protein with multiple independent functions. MPs play vital roles in cellular regulation, diseases, and biological pathways. At present, very few MPs have been discovered by biological experiments. Due to
Ying Li, Jianing Zhao, Zhaoqian Liu, Cankun Wang, Lizheng Wei, Siyu Han, Wei Du   +6 more
doaj   +1 more source

Multilayer Perceptron Network Optimization for Chaotic Time Series Modeling

Entropy, 2023
Chaotic time series are widely present in practice, but due to their characteristics—such as internal randomness, nonlinearity, and long-term unpredictability—it is difficult to achieve high-precision intermediate or long-term predictions.
Mu Qiao, Yanchun Liang, Adriano Tavares, Xiaohu Shi   +3 more
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Prior-guided attention fusion transformer for multi-lesion segmentation of diabetic retinopathy

Scientific Reports
To solve the issue of diagnosis accuracy of diabetic retinopathy (DR) and reduce the workload of ophthalmologists, in this paper we propose a prior-guided attention fusion Transformer for multi-lesion segmentation of DR.
Chenfangqian Xu, Xiaoxin Guo, Guangqi Yang, Yihao Cui, Longchen Su, Hongliang Dong, Xiaoying Hu, Songtian Che   +7 more
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Lncident: A Tool for Rapid Identification of Long Noncoding RNAs Utilizing Sequence Intrinsic Composition and Open Reading Frame Information

International Journal of Genomics, 2016
More and more studies have demonstrated that long noncoding RNAs (lncRNAs) play critical roles in diversity of biological process and are also associated with various types of disease.
Siyu Han, Yanchun Liang, Ying Li, Wei Du
doaj   +1 more source

Hierarchical graph neural network with subgraph perturbations for key gene cluster discovery in cancer staging

Complex & Intelligent Systems, 2023
Analyzing highly individual-specific genomic data to understand genetic interactions in cancer development is still challenging, with significant implications for the discovery of individual biomarkers as well as personalized medicine.
Wenju Hou, Yan Wang, Ziqi Zhao, Yizhi Cong, Wei Pang, Yuan Tian   +5 more
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On the Problem of the Interpretation of Symbols and Symbolism in Archaeology

, 2023
Abstract This chapter discusses the use of the terms symbols, symbolism, and symboling in the archaeological literature. The lack of definition and any grounding in cognitive theory makes identifying prehistoric symbols and symboling more art than science.
Frederick L. Coolidge, Karenleigh A. Overmann, Thomas Wynn   +2 more
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Symbolic types for lenient symbolic execution [PDF]

Proceedings of the ACM on Programming Languages, 2017
We present lambda_sym, a typed λ-calculus for lenient symbolic execution , where some language constructs do not recognize symbolic values. Its type system, however, ensures safe behavior of all symbolic values in a program.
Stephen Chang 0001, Alex Knauth, Emina Torlak   +2 more
openaire   +1 more source

Acupuncture and tuina knowledge graph with prompt learning

Frontiers in Big Data
IntroductionAcupuncture and tuina, acknowledged as ancient and highly efficacious therapeutic modalities within the domain of Traditional Chinese Medicine (TCM), have provided pragmatic treatment pathways for numerous patients. To address the problems of
Xiaoran Li, Xiaosong Han, Siqing Wei, Yanchun Liang, Yanchun Liang, Renchu Guan   +5 more
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3D Compressed Convolutional Neural Network Differentiates Neuromyelitis Optical Spectrum Disorders From Multiple Sclerosis Using Automated White Matter Hyperintensities Segmentations

Frontiers in Physiology, 2020
BackgroundMagnetic resonance imaging (MRI) has a wide range of applications in medical imaging. Recently, studies based on deep learning algorithms have demonstrated powerful processing capabilities for medical imaging data.
Zhuo Wang, Zhuo Wang, Zhezhou Yu, Yao Wang, Huimao Zhang, Huimao Zhang, Yishan Luo, Lin Shi, Lin Shi, Yan Wang, Chunjie Guo, Chunjie Guo   +11 more
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A Central Edge Selection Based Overlapping Community Detection Algorithm for the Detection of Overlapping Structures in Protein–Protein Interaction Networks

Molecules, 2018
Overlapping structures of protein–protein interaction networks are very prevalent in different biological processes, which reflect the sharing mechanism to common functional components.
Fang Zhang, Anjun Ma, Zhao Wang, Qin Ma, Bingqiang Liu, Lan Huang, Yan Wang   +6 more
doaj   +1 more source