hERG-MFFGNN: An Explainable Deep Learning Model for Predicting Cardiotoxicity Using Multi-feature Fusion and Graph Neural Networks [0.03%]
基于多特征融合和图神经网络的可解释深度学习心脏毒性预测模型(hERG-MFFGNN)
Bingyu Jin,Jiarun Wang,Xin Yang et al.
Bingyu Jin et al.
Drug-related cardiotoxicity, most notably arrhythmia, represents a major challenge in drug development. Inhibition of hERG potassium channel by certain compounds has the potential to delay cardiac repolarization, manifested as QT interval p...
MKLNID: Identifying Melanoma-related Pathogenic Genes Through Multiple Kernel Learning and Network Impulsive Dynamics [0.03%]
基于多核学习与网络脉冲动力学的黑色素瘤致病基因识别方法研究
Linconghua Wang,Ju Xiang,Zihao Guo et al.
Linconghua Wang et al.
Melanoma is a highly malignant skin cancer, and identifying its pathogenic genes is crucial for understanding its pathogenesis and developing treatment strategies. Network-based approaches effectively capture the synergistic interactions am...
Causal Transformer for Learning Embeddings from Structured Medical History Records and Multi-Source Data Integration for Complex Disease Risk Prediction [0.03%]
因果变压器，从结构化医疗记录中学习嵌入；以及复杂疾病风险预测的多源数据集成方法
Zeming Li,Yu Xu,Debajyoti Chowdhury et al.
Zeming Li et al.
Traditional disease risk prediction models predominantly rely on statistical algorithms and often focus on genetic factors or a limited set of lifestyle factors to estimate the risk of disease onset. Recently, more comprehensive approaches ...
ORMCKB: A Knowledge Database for Personalized Medicine in Deciphering the Oral Microbiome-Disease Axis [0.03%]
ORMCKB：一个用于精准医学解析口腔微生物与疾病关系的知识库
Yutao Wu,Yi Zhou,Wenjing Shi et al.
Yutao Wu et al.
The oral microbiome plays a crucial role in the development and progression of diseases. The complex interactions between the oral microbiome and diseases are challenging for clinicians in clinical decision-making and scientific research. T...
Accurately Predicting Cell Type Abundance from Spatial Histology Image Through HPCell [0.03%]
基于HPCell精确预测空间组织学图像中的细胞类型丰度
Yongkang Zhao,Youyang Li,Weijiang Yu et al.
Yongkang Zhao et al.
Recent advancements in spatial transcriptomics (ST) have revolutionized our ability to simultaneously profile gene expression, spatial location, and tissue morphology, enabling the precise mapping of cell types and signaling pathways within...
Clustering Single-Cell RNA-Seq Data with Low-Rank Matrix Factorization and Local Graph Regularization [0.03%]
基于低阶矩阵分解和局部图正则化的单细胞RNA序列数据聚类方法
Yue Yu,Wei Zhang,Xiaoying Zheng et al.
Yue Yu et al.
Single-cell RNA sequencing (scRNA-seq) offers significant opportunities to reveal cellular heterogeneity and diversity. Accurate cell type identification is critical for downstream analyses and understanding the mechanisms of heterogeneity....
Hot-Spot-Guided Generative Deep Learning for Drug-Like PPI Inhibitor Design [0.03%]
热点导向的生成式深度学习方法用于药物样PPI抑制剂的设计
Heqi Sun,Jiayi Li,Yufang Zhang et al.
Heqi Sun et al.
Protein-protein interactions (PPIs) are essential therapeutic targets, yet their large and relatively flat interfaces hinder the development of small-molecule inhibitors. Traditional computational approaches rely heavily on existing chemica...
AttResAMD: An Attention-Driven Deep Learning Framework for Expert-Level Automated Classification of Age-Related Macular Degeneration from Fundus Photography [0.03%]
基于注意力驱动的深度学习框架的眼底图像年龄相关性黄斑变性疾病专家级别分类方法
Siqi Bao,Zijian Yang,Zicheng Zhang et al.
Siqi Bao et al.
IQSPred-PLM: An Interpretable Quorum Sensing Peptides Prediction Model Based on Protein Language Model [0.03%]
基于蛋白质语言模型的可解释型群体感应肽预测模型 IQSPred-PLM
Yusen Su,Qingyang Guo,Taigang Liu
Yusen Su
Quorum sensing regulates cooperative behaviors in bacteria through the accumulation and detection of signaling molecules. This process plays a crucial role in various biological functions, including biofilm formation, antibiotic production,...