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

Analysis of Significantly Different ARGs and Resistance Mechanisms. by Xu Jia (187142)

iKIR score decreases protection associated with protective class II genotypes in T1D. by Laura Mora-Bitria (20477525)

Variation of the most appropriate p value significance threshold with different ratios of the standard deviations and sample sizes. by Farrokh Habibzadeh (12256529)

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The table shows the significant and non-significant altered group with different parameters. by Ashraf Attia Mahmoud (21262201)

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Significant condition. by Junxia Zhou (14381598)

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

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

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Significantly Enriched Pathways. by Jiyong Zhang (2498740)

“…Pathway analysis revealed a marked decrease in expression within certain key metabolic pathways (such as the one-carbon pool by folate) in the NAFLD group, while expression in DNA repair-related pathways (such as non-homologous end joining) was significantly increased. …”

Results of significance for regression factors. by Junxia Zhou (14381598)

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Most significant muscle activation values. by María Benito-de-Pedro (22057468)

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Prenatal alcohol exposure (PAE) decreases brain and body weights at E14 and P0. by Danielle Sambo (6077924)

Significant repeated measurements sEMG outcomes. by María Benito-de-Pedro (22057468)

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Significant single measurement sEMG outcomes. by María Benito-de-Pedro (22057468)

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Box plot show that there are no differences between different groups of the size of pus cavity. by Na Wang (193263)

HFD decreases intermediate-term memory. by Tong Yue (6033305)

“…(C) Food intake was not significantly different between ND- and HFD-fed flies during the 1 hour. …”

Box plots showing the taxa that were significantly different between thin and normal cows. by Bhuripit Saraphol (20855573)

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The top 20 candidate drugs demonstrating the most significant sensitivity differences between high- and low-GSRS subjects. by Yu Zhang (12946)

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Fabric anisotropy evolution of numerical samples with different shapes and sizes. by Yongfeng Zhu (7361045)

Stress concentration factor value in the numerical samples with different shapes and sizes. by Yongfeng Zhu (7361045)