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)

Increasing gaps and decreasing returns attenuate spending effects. by William Minozzi (8564712)

List of clusters and significant functional classifications. by Gunalan Natesan (17675364)

The number of ER-mitochondria contact sites increase and they are clustered in infection. by Simon Leclerc (1862623)

LISA significance map. by Bibian N. Robert (17457829)

Gap junction (GJ) communication decreases the proportion of cells exhibiting Ca²⁺ spikes. by Dharsan K. Soundarrajan (11632145)

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)

Subjects:

ARGs found to be significantly abundant per ARG cluster. by Markus H. K. Johansson (17241650)

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)

Subjects:

Cluster significance test for large genes. by Leo Zeitler (13775500)

“…It is expected that the inter-cluster correlation for the grouping determined by the <i>k</i>-mean tends to be significantly lower than the random clustering. …”

Model fit indices of latent profile analysis for an increasing number of clusters. by Matthias Huemer (17636747)

Subjects:

Number of ARGs or MGEs with significantly different abundance per cluster. by Markus H. K. Johansson (17241650)

Results (only significant clusters) spatiotemporal cluster analyses in addition to Fig 4A–4D. by Jobst Augustin (12275383)

Clustered mutations and cluster summary. by Bettina Meier (274833)

Analysis of significant differences in ARG abundance for the geographical clusters in figure 3S. by Markus H. K. Johansson (17241650)

Analysis of significant differences in MGE abundance for the geographical clusters in figure 2S. by Markus H. K. Johansson (17241650)

Statistically significant clusters for each contrast by the group analysis (n = 29). by Yuji Uchiyama (135480)

Hierarchal clustering of the HDV and HBV datasets identified distinct temporal clusters. by Braden S. Fallon (15353801)

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Distribution of digital financial inclusion impact on carbon intensity gap in agriculture by province. by Lingzhi Tan (19146572)

Entropy of clusters. by Pramod Divakarmurthy (19207376)