Significant clusters: Coronal PET images showing brain regions with significant (p < 0.001 and K > 50) metabolic inhibition (A-G) and activation (H-I) in rats following cocaine sel... by Christopher Rowan (21499924)

Cluster IDs and NCBI derived annotations. by Dita Gudra (4439767)

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The number of clusters, number of interactions, and their types between the ligand and protein_DNA complex. by Ahmed A. Gaber (13302308)

Brain regions with significant metabolic inhibition (p < 0.001, K = 50) (A) and activation (B) in rats following cocaine self-administration compared to baseline. Cluster location... by Christopher Rowan (21499924)

Analysis of Significantly Different Bacteria. by Xu Jia (187142)

The three schizophrenia patient clusters visualized using functional connectivity matrices. To create the visualizations, we take all the windows belonging to a cluster and average... by Eloy Geenjaar (21533195)

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Clusters of creep curves under different freeze-thaw cycles. by Dengke Yang (842532)

Unsupervised multivariate clustering. by Patricia Eiko Yamakawa (16726338)

Primer sequences with the respective targeted ESBL clusters. by Dita Gudra (4439767)

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Mutation clusters in human tumours with and without association to IR-exposure. by Bettina Meier (274833)

Prevalence of significant associations between the pre and post-treatment clinical and ECG/Holter findings in 106 patients with acute Chagas disease acquired by the oral route, Cha... by Raiza Ruiz-Guevara (17108737)

Subjects: “…studies prevalence overestimates…”

Cluster-level refusal rates. by Emma Murphy (2270992)

Gut microbiome features significantly associated with clinical signs show evidence of phylogenetic clustering while nasal microbiome features show evidence of phylogenetic overdisp... by Holly Kristin Arnold (14204655)

Performance of Gurobi as standalone algorithm and when used in the clustering metaheuristic (<i>Flat</i> instances). by Almiqdad Elzein (13141038)

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Performance of Gurobi as standalone algorithm and when used in the clustering metaheuristic (<i>Random</i> instances). by Almiqdad Elzein (13141038)

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Multivariate and clustering analysis of metabolomic data. by Bhuripit Saraphol (20855573)

Droplet-based microfluidics can be used to model clustered bacterial growth. by Justin Greene (306625)

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Number of clusters determined using the Davies Bouldin index. by Harm J. van der Horn (3700717)

Hierarchical clustering of 204 countries. by Jiacheng Zhang (3597089)

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Creep curve clusters of rock samples with different fracture dip angles. by Dengke Yang (842532)