Reducing Dscam1 diversity decreases adult lifespan in an exon-specific manner, Related to Fig 3. by Haiyang Dong (4783608)

Reducing Dscam1 diversity decreases adult lifespan in a cluster-specific manner, also see S6 and S7 Figs. by Haiyang Dong (4783608)

Comparison of the fit of multiple cluster analyses of the cross-lagged panel model. by Zixia Bu (21475019)

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Clusters’ descriptors for mineral contents in leaves and roots of 29 accessions of <i>Synsepalum dulcificum</i> in Benin. by Rabiath F. R. Adigoun (14189090)

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Brain regions with significantly decreased activations for the Raven task are shown in blue. by Morteza Fattahi (15892028)

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

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Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (sign... by Mobina Faqani (22783963)

Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “... by Mobina Faqani (22783963)

Unsupervised hierarchical clustering for BC samples only. by Jinho Lee (587173)

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Community composition of samples from five individuals show clustering of samples according to individual. by Katrine Carlsen (5477300)

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Beta diversity of soil bacteria in different disturbed areas of CG by hierarchical cluster analysis. by Bianhua Zhang (22430652)

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Correlations between significantly different microbiota and metabolites. by Bhuripit Saraphol (20855573)

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EGFR/ERK signaling activity decreases throughout LEC elimination with endocytic activity dependency. by Kevin Yuswan (19845885)

Scatter plots of the relationships between age and the proportions of cells which statistically significantly correlated with age. by Arttu Autio-Kimura (20454681)

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Summary map of all contacts with statistically significant SVM classifications. by Alexander P. Rockhill (6053618)

“…<p>The top row presents the proportion of significant SVM clusters. It illustrates what proportions of channels are significant at that time-frequency ranging from 0 to 1. …”

Transepithelial resistance of NHBE decreases significantly after PAA exposure. by Ellie S. Burns (21246537)

S10 and T3SS reporter signals do not correlate in the absence of MgOx treatment. by Justin Greene (306625)

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Unsupervised hierarchical clustering for benign samples only (nontreatment, STT, and LTT groups). by Jinho Lee (587173)

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Correlation analysis, Data show only the values of the correlations that were significant (p < 0.05). by Glaucia Vilar-Pereira (686134)