Michael Pearce,Elena A Erosheva
Michael Pearce
Identification of Phenotypes in Thrombotic Primary Antiphospholipid Syndrome Using Cluster Analysis: A step Towards Personalized Medicine [0.03%]
基于聚类分析的抗磷脂综合征 thrombosis 表型识别：迈向个体化医疗的第一步
Gabrielle M Santos,Paula David,Or Hen et al.
Gabrielle M Santos et al.
Background: Thrombotic risk in primary antiphospholipid syndrome (APS) is a result of complex, yet undefined, interactions among multiple factors. While long-term anticoagulation reduces thrombotic complications, its effi...
Joana Pereira,Lorenzo Pantolini,Janani Durairaj et al.
Joana Pereira et al.
Proteins within a family sharing sequence and structure similarity due to a common evolutionary origin often also share functional similarities. Clustering of proteins therefore offers valuable insights, enabling the transfer of features an...
Yang Zhao,Daidai Zhu,Aihong Yuan et al.
Yang Zhao et al.
The learning of a consensus representation is critical to multi-view spectral clustering, which generally involves two stages: affinity matrix construction from heterogeneous views and consensus embedding learning for clustering. However, m...
Differentiable Graph Clustering with Structural Grouping for Single-cell RNA-seq Data [0.03%]
基于结构化分组的单细胞RNA测序数据可微图聚类方法
Xiaoqiang Yan,Shike Du,Quan Zou et al.
Xiaoqiang Yan et al.
Motivation: Clustering cells into subpopulations is one of the most crucial tasks in single-cell RNA sequencing (scRNA-seq) data analysis, which provides support for biological research at cellular level. With the develop...
Precision approaches towards diabetes prevention: towards a clustering approach with more phenotypical granularity [0.03%]
精准的糖尿病预防方法——利用更详细的表型信息进行患者分类的方法论探索
Ellen E Blaak
Ellen E Blaak
The Spatial Dynamics of Japanese Sardine (Sardinops sagax) Fishing Grounds in the Northwest Pacific: A Geostatistical Approach [0.03%]
西北太平洋日本沙丁鱼渔场的时空变异及聚类特征——基于GIS和地统计学的方法研究
Yongzheng Tang,Yuanting Gong,Heng Zhang et al.
Yongzheng Tang et al.
The Japanese sardine (Sardinops sagax), a key economic species in the Northwest Pacific Ocean (NWPO), has shown significant increases in both population abundance and catch volume over the past decade. To understand its spatiotemporal dynam...
DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastoma [0.03%]
基于DBSCAN和DBCV的临床异质性数据聚类方法及其在神经母细胞瘤患者分型中的应用研究
Davide Chicco,Luca Oneto,Davide Cangelosi
Davide Chicco
Neuroblastoma is a common pediatric cancer that affects thousands of infants worldwide, especially children under five years of age. Although recovery for patients with neuroblastoma is possible in 80% of cases, only 40% of those with high-...
Invasive group A streptococcus infections in the intensive care unit: an unsupervised cluster analysis of a multicentric retrospective cohort [0.03%]
重症监护病房侵袭性A族链球菌感染的无监督聚类分析：一项多中心回顾性队列研究
Tomas Urbina,Lilith Faucheux,Jean-Rémi Lavillegrand et al.
Tomas Urbina et al.
Background: Invasive group A streptococcus (iGAS) infection incidence is rising. These infections have been studied as a whole but can be associated with critical illness in a population with a wide array of underlying co...
Multicenter Study
Critical care (London, England). 2025 Jun 12;29(1):239. DOI:10.1186/s13054-025-05469-6 2025
Zilong Deng,Yizhang Wang,Mustafa Muwafak Alobaedy
Zilong Deng
Federated clustering is a distributed clustering algorithm that does not require the transmission of raw data and is widely used. However, it struggles to handle Non-IID data effectively because it is difficult to obtain accurate global con...
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