MOGANet: A Multi-omics Graph Attention Network for Cancer Diagnosis and Biomarker Identification [0.03%]
基于多组学图注意力网络的癌症诊断与标志物识别模型
Haowen Wu,Hao Wu,Xia Xin et al.
Haowen Wu et al.
Multi-omics integration holds considerable promise for advancing disease understanding and improving the performance of biomedical classification tasks. However, existing methods often struggle to comprehensively capture the complex relatio...
STFusion: A Spatial-Temporal Dual-Pathway Network with Multi-scale Attention Fusion for Early Diagnosis of Parkinson's Disease [0.03%]
基于多尺度注意融合的时空双路径网络早期诊断帕金森病(STFusion)
Hailin Yue,Hulin Kuang,Mengshen He et al.
Hailin Yue et al.
Focal-DenseNet: A Risk Assessment Framework for Alzheimer's Disease in Heterogeneous MRI Data [0.03%]
基于异质性磁共振影像数据的阿尔茨海默病风险评估框架
Hanjing Lan,Jingxuan Zhang,Zhenlong Zhao et al.
Hanjing Lan et al.
Alzheimer's disease (AD) is a progressive neurodegenerative disease of the nervous system, which has become an important public health issue attracting global attention. However, its exact causes and pathogenesis have not been fully elucida...
KGLAR: Deconvoluting Spatial Transcriptomics Data with Single-cell Transcriptomes through Knowledge-guided NMF and Least Angle Regression [0.03%]
基于知识引导的非负矩阵分解和最小角回归的空间转录组数据解卷积研究（通过单细胞转录组）
Lihong Peng,Feixiang Wang,Wei Wu et al.
Lihong Peng et al.
IRDRM: Exploring Biological Traits and Clinical Significance in Breast Cancer Through Gene Pairs and Somatic Mutation Profiles [0.03%]
基于基因双联体和体细胞突变谱的乳腺癌生物学性状及临床意义探索
Dongqing Su,Xu Luo,Yuqiang Xiong et al.
Dongqing Su et al.
Breast cancer, notable for its extensive heterogeneity, remains a serious threat to public health. Accurate stratification of breast cancer cases based on somatic mutation profiles offers precise guidance for personalized treatment. However...
Real-Time Functional Lesion Simulation in Connectomics: Rapid Sensitivity Analysis of Neural Pathways via Traversal Tree-Correlated Cuts [0.03%]
实时连接组功能损伤模拟：通过遍历树相关联的快速敏感性分析进行神经通路分析
Zeming Li
Zeming Li
Preserving critical neural pathways during neurosurgery is paramount to minimizing postoperative functional deficits. Connectomics offers a graph-theoretic framework to model these pathways, where the "minimum cut" between two brain regions...
A Graph Neural Network Framework with Equivariance and Heterogeneity for Drug Repositioning [0.03%]
一种用于药物重定位的等变和异构图神经网络框架
Xinhua Jia,Yuchen Zhang
Xinhua Jia
Drug repositioning is a strategy that enhances traditional drug development by identifying new therapeutic uses for approved or clinically investigated drugs through scientific approaches. However, the majority of drug repositioning strateg...
UDEDB: A Comprehensive Database for Dynamic Molecular Expression Changes in Uterine Endometrium [0.03%]
UDEDB：一个关于子宫内膜动态分子表达变化的综合数据库
Yu Ni,Xiaojing Liu,Yang Liu et al.
Yu Ni et al.
Exploring Deep Learning Models for Small Histopathology Datasets: Segmentation and Classification of Glomerular Crescent Lesions with Ablation, Interpretability, and Calibration Analyses [0.03%]
基于消融、可解释性和校准分析的小数据集肾小球病理分割和分类的深度学习方法研究
Inayatul Haq,Haomin Liang,Zheng Gong et al.
Inayatul Haq et al.
Glomerular crescent lesions are critical indicators of severe kidney injury and are closely associated with disease progression. However, their automated identification remains challenging due to limited annotated data, class imbalance, and...
PhaGCN_Cluster: A Scalable and Robust Framework for Automated Classification and Discovery of Viral Dark Matter from Metagenomes [0.03%]
PhaGCN_Cluster：一种用于从元基因组中自动分类和发现病毒暗物质的可扩展且 robust 的框架
Hao-Long Xia,Pei-Yu Liang,Wen-Guang Yuan et al.
Hao-Long Xia et al.
Viruses are the most abundant biological entities on Earth, playing essential roles in shaping microbial communities, driving evolution, and maintaining ecosystem functions. Metagenomic sequencing has unveiled a vast landscape of uncharacte...