Results 111 to 120 of about 156,516 (263)
Energy Models for Graph Clustering
Journal of Graph Algorithms and Applications, 2007 Summary: The cluster structure of many real-world graphs is of great interest, as the clusters may correspond e.g. to communities in social networks or to cohesive modules in software systems. Layouts can naturally represent the cluster structure of graphs by grouping densely connected nodes and separating sparsely connected nodes.
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Neurologic Manifestations of Long COVID Affect Adult Females More Severely Than Males
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To characterize differences in neurologic manifestations of postacute sequelae of SARS‐CoV‐2 infection (Neuro‐PASC) between females and males. Methods Cross‐sectional study of the first consecutive 261 posthospitalization Neuro‐PASC (PNP) and 2068 nonhospitalized Neuro‐PASC (NNP) patients evaluated at the Neuro‐COVID clinic between ...
Hannah Kopinsky +5 more
wiley +1 more source
Clustered Colouring of Graph Products
The Electronic Journal of CombinatoricsA colouring of a graph $G$ has clustering $k$ if the maximum number of vertices in a monochromatic component equals $k$. Motivated by recent results showing that many natural graph classes are subgraphs of the strong product of a graph with bounded treewidth and a path, this paper studies clustered colouring of strong products of two bounded treewidth ...
Campbell, Rutger +7 more
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Gravity‐Dependent Modulation of Downbeat Nystagmus: Insights From Velocity‐Storage Dysfunction
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Downbeat nystagmus varies with head position, a phenomenon termed gravity‐dependent modulation. We aimed to clarify its mechanism using a velocity‐storage model. Methods In 10 patients with downbeat nystagmus due to cerebellar disorders, we recorded eye movements at different pitch‐ and roll‐axis head positions.
Ji‐Hyung Park +5 more
wiley +1 more source
netANOVA: novel graph clustering technique with significance assessment via hierarchical ANOVA. [PDF]
Brief Bioinform, 2023 Duroux D, Van Steen K.
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian +6 more
wiley +1 more source
Diverse representation-guided graph learning for multi-view metric clustering
Journal of King Saud University: Computer and Information SciencesMulti-view graph clustering has garnered tremendous interest for its capability to effectively segregate data by harnessing information from multiple graphs representing distinct views.
Xiaoshuang Sang +3 more
doaj +1 more source
SymptomGraph: Identifying Symptom Clusters from Narrative Clinical Notes using Graph Clustering. [PDF]
Proc Symp Appl Comput, 2023 Tahabi FM, Storey S, Luo X.
europepmc +1 more source
Intracerebral Hemorrhage Induces Monocyte TNF Signaling in Patients That Is Suppressed by BAF312
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Intracerebral hemorrhage (ICH) causes high morbidity and mortality, with neurotoxic inflammation driven by infiltrating monocytes. This study is an in‐depth longitudinal examination of the immune response during the first week of ICH in the presence and absence of the immunomodulatory drug BAF312 (Siponimod).
Jonathan Howard DeLong +10 more
wiley +1 more source
gcMECM: graph clustering of mutual exclusivity of cancer mutations. [PDF]
BMC Bioinformatics, 2021 Hu Y, Yan C, Chen Q, Meerzaman D.
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