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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Analysis of the significantly different metabolomic features. by Bhuripit Saraphol (20855573)

“…<b>(B)</b> Volcano plot highlighting the significantly different metabolomic features. The red dots represent the features with significantly increased intensity, and the purple dots represent the features with significantly decreased intensity. …”

Box plots of genera showing statistically significant difference in taxonomic abundance. by Hiroko Yahara (9707647)

“…<p>(a) Genera with a significant decrease in the CNO and chronic bacterial osteomyelitis groups. …”

Posterior, mid-posterior, central, and mid-anterior corpus callosal volume significantly decreased with increasing risk of environmental lead exposure. by Andrew T. Marshall (10159199)

Self-reported affect change during CFI for participants who attended multiple sessions (N = 22). by Iona Naismith (14581268)

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SARS-CoV-2 specific T cell frequencies analysis comparing pre-existing conditions show no significant differences. by Katherine M. Littlefield (12647420)

Pearson correlation for studied rice growth attributes affected zinc application at different growth stages. by Hassan Mehmood (9574947)

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Species richness decreases significantly with increasing percent disturbance. by Catherine L. Cardelús (6429320)

BMR decreases with age. by Henrik H. Berntsen (11767710)

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Sex-based differences for combinations of brain regions and cell types, based on Mann-Whitney U-test. by Arttu Autio-Kimura (20454681)

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List of the proteins that increased or decreased significantly with the progression of liver fibrosis. by Kumiko Shirai (13014884)

“…<p>List of the proteins that increased or decreased significantly with the progression of liver fibrosis.…”

Encapsulation efficiency significantly decreases with increasing starting bacterial concentration. by Kelly C. Freudenberger Catanzaro (6701789)

“…Encapsulation efficiency decreased with increasing starting bacterial concentrations. …”

Consumption frequencies of different types of SSBs. by Yulian Ding (5984591)

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Contains R code utilized in the analyses. by Arttu Autio-Kimura (20454681)

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Bootstrapped spearman correlations from a randomly selected subset of male sample donor originating samples (n = 493). by Arttu Autio-Kimura (20454681)

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Spearman correlations between the age of the sample donor (20–70 years) and estimated proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

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Box plots for subsets of female originating samples, displaying the distributions of the proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

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Box plots for subsets of male originating samples, displaying the distributions of the proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

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Box plot displaying the distributions of the deconvolution derived proportions of cell types. by Arttu Autio-Kimura (20454681)

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Spearman correlation of age with proportions of cell types in men, for each brain region. by Arttu Autio-Kimura (20454681)

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