HyperDiffuseNet: A Deep Hyperbolic Manifold Learning Method for Dimensionality Reduction in Spatial Transcriptomics [0.03%]
超扩散网络：空间转录组学中降维的深度双曲流形学习方法
Jing Qi,Wen Shuai,Lv Yanqi et al.
Jing Qi et al.
Spatial transcriptomics (ST) reveals tissue organization but presents analytical challenges due to high dimensionality and complex spatial-hierarchical structures, which are often distorted by Euclidean-based dimensionality reduction method...
Pharming: Joint Clonal Tree Reconstruction of Single-Nucleotide Variant and Copy Number Aberration Evolution from Single-Cell DNA Sequencing of Tumors [0.03%]
单细胞DNA测序联合克隆树重建肿瘤单核苷酸变异和拷贝数异常进化现象
Leah L Weber,Anna Hart,Idoia Ochoa et al.
Leah L Weber et al.
Cancer arises through an evolutionary process in which somatic mutations, including single-nucleotide variants (SNVs) and copy number aberrations (CNAs), drive the development of a malignant, heterogeneous tumor. Reconstructing this evoluti...
Jia Qu,Qing-Nuo Li,Zi-Hao Song et al.
Jia Qu et al.
Due to the widespread use of antibiotics, many microbes have become drug-resistant. It is urgent to develop new antibiotics that can effectively combat drug-resistant microbes. Exploiting microbe-drug associations can help researchers make ...
Separating Biological Variance from Noise by Applying Expectation-Maximization Algorithm to Modified General Linear Model [0.03%]
基于改进的广义线性模型应用期望最大化算法分离生物差异与其噪音干扰
Tien-Wen Lee
Tien-Wen Lee
The general linear model (GLM) has been widely used in research, where the error term has been treated as noise. However, compelling evidence suggests that in biological systems, the target variables may possess their innate variances. A mo...
Graph Data Augmentation for Graph Convolutional Networks Learning in Robust Mental Disorder Prediction with Limited and Noisy Labels [0.03%]
图数据增强用于有限且嘈杂标签下的鲁棒精神障碍预测与图卷积网络学习
Jiacheng Pan,Yihong Dong,Daogen Jiang et al.
Jiacheng Pan et al.
Graph neural networks have shown impressive performance in a variety of biomedical application tasks due to their powerful graph representation capabilities. Although GNN has achieved great success, the data noise and data scarcity problems...
Special Issue, Part II 20th International Symposium on Bioinformatics Research and Applications (ISBRA 2024) [0.03%]
2024年国际生物信息学研究与应用会议（ISBRA 2024）特刊 第二部分
Zhipeng Cai,Wei Peng,Murray Patterson
Zhipeng Cai
RadSpliceDB: A Comprehensive Database of Radiotherapy Prognosis-Related Splicing Isoforms [0.03%]
RadSpliceDB：一个全面的放疗预后相关的剪接异构体数据库
Ling-Yu Wu,Yan Shao,Yang Gao et al.
Ling-Yu Wu et al.
Radiotherapy (RT) plays a crucial role in tumor treatment, but reliable prognostic biomarkers for patient survival remain limited. To address this gap, we constructed a comprehensive database, RadSpliceDB (https://radsplicedb.com.cn), focus...
Leveraging an Image-Enhanced Cross-Modal Fusion Network for Radiology Report Generation [0.03%]
基于图像增强的跨模态融合网络的放射学报告生成方法
Yi Guo,Xiaodi Hou,Zhi Liu et al.
Yi Guo et al.
Radiology report generation (RRG) tasks leverage computer-aided technology to automatically produce descriptive text reports for medical images, aiming to ease radiologists' workload, reduce misdiagnosis rates, and lessen the pressure on me...
Enhanced Interpretable Neural Network Approach for Unified Batch Effect Mitigation and Disease Classification Using Cross-Cohort Microbiome Profiles [0.03%]
基于跨队列微生物组谱的综合批次效应缓解和疾病分类的增强可解释神经网络方法
Daryl Lx Fung,Mohd Wasif Khan,Carson Kai-Sang Leung et al.
Daryl Lx Fung et al.
The oral microbiome is a complex environment that consists of diverse microorganisms inhabiting the oral cavity. There are more than 700 different species of bacteria living in the oral cavity which provides nutrition to the microorganisms ...
Special Issue, Part I 20th International Symposium on Bioinformatics Research and Applications (ISBRA 2024) [0.03%]
2024年国际生物信息学研究与应用会议（ISBRA 2024）特刊 第一部分
Zhipeng Cai,Wei Peng,Murray Patterson
Zhipeng Cai