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

Clustering based on out-of-sample error. by James Anibal (13899712)

Significant clusters of areas with high pre-lacteal feeding practice in Ethiopia, 2016. by Achamyeleh Birhanu Teshale (8357232)

Cohort characteristics. by Fernanda Talarico (807333)

Subjects:

Hierarchical clustering-based heatmap of significantly differentiated proteins expressed in <i>M</i>. <i>exasperatus</i>. by Zafrir Kuplik (6569579)

Hierarchical clustering-based heatmap of significantly differentiated proteins expressed in <i>P</i>. <i>mytiligera</i>. by Zafrir Kuplik (6569579)

Summary of the significant cluster composition from the seed-based connectivity analysis of the olfactory region (covering ≥ 10% of the regions). by Sadeq Mohammadi (22622219)

“…<p>Summary of the significant cluster composition from the seed-based connectivity analysis of the olfactory region (covering ≥ 10% of the regions).…”

Clustering results based on ward’s method. by Karine Torosyan (17002113)

“…This study fills the gap by examining employment trends based on similarities between occupations.</p><p>Method</p><p>We first demonstrated a new method that clusters 756 occupation titles based on knowledge, skills, abilities, education, experience, training, activities, values, and interests. …”

General linear mixed model coefficients and significance for species-specific ungulate intensity of use as a function of cattle grazing period. by Kathryn Knodel (20036529)

Clusters of significant altered cortical thickness between HIV-infected patients groups. by Rafael Ferracini Cabral (11824637)

Cluster dendrogram based on MMD values. by Erica Piccirilli (17200066)

Species1 from Tropical mammal functional diversity increases with productivity but decreases with anthropogenic disturbance by Daniel Gorczynski (10093617)

“…We use occupancy values derived from the camera trap data to calculate occupancy-weighted functional diversity and use Bayesian generalized linear regression to determine the effects of multiple predictors. …”

Heatmap based on partitioning around medoids cluster analysis. by Fiona McAuliffe (18265159)

Image_1_Loneliness predicts decreased physical activity in widowed but not married or unmarried individuals.TIF by Chava Pollak (18478155)

“…Loneliness did not predict a statistically significant decrease in physical activity in married or unmarried individuals.…”

Survival covariate significance in survival prediction. by Teemu J. Rintala (19333003)

Subjects:

Overview of the WeARTolerance program. by Ana Beato (20489933)

“…<div><p>The stigma surrounding mental health remains a significant barrier to help-seeking and well-being in youth populations. …”

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

Significant clusters of overweight/obesity among reproductive age women, EDHS 2016. by Ermias Bekele Enyew (12152258)

Significant clusters for zero-dose children aged 12-23 months in Ethiopia, 2023. by Berhanu Fikadie Endehabtu (9218109)

Heat map of hierarchical clustering analysis based on the significantly changed miRNA expression between BrS patients and controls. by Yoshihiro Ikeuchi (12646774)