The number of gauging cross-sections where a statistically significant decreasing trend was identified. by Krzysztof Kochanek (835532)

Mean decrease Gini score by Tweet and user characteristics. by Gray Babbs (16648894)

Decrease of the mean number of natural teeth and POPs with age. by Sul-Hee Kim (11873853)

<i>In vitro</i> 95% CI lower and upper mean susceptibility responses of field isolates to antimalarials. by Winnie Okore (14139712)

Subjects:

Baseline patient characteristics. by Oscar F. C. van den Bosch (22184246)

Subjects:

Details of genes in significantly up-regulated gene sets. by Xiaoxiao Shi (109071)

Mappings that yield more significant genes are associated with fewer significant gene sets. by David Groenewoud (12275512)

“…<p><b>(A)</b> The number of non-redundant, significant gene sets detected as a function of the number of significant genes detected for diverse mappings. …”

Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation by Xiaoyu Shen (4715430)

“…In this study, we constructed a novel prognostic model based on GTRLs using univariate Cox regression, Lasso, and multivariate stepwise Cox regression analysis. …”

Variability and correlations decrease during task states in human fMRI data. by Takuya Ito (57473)

“…<b>h)</b> We found that the average correlation for each brain region, decreased for each brain region during task state. …”

Plot of mean simulated power with 95 percentile (2.5 & 97.5%) for select DNAm differences. by Jacquelyn Y. Taylor (6386456)

Subjects:

The significantly deregulated MTs across all comparisons based on deregulated genes. by Vikash Pandey (188392)

Significant results from the gene-based aerodigestive SqCC associations. by Corina Lesseur (454462)

Significant whole genes are distributed throughout the genome and sex-based phenotypes. by Adam N. Spierer (10325544)

Significant differences in metabolic marker genes. by Megan L. Dillon (5511308)

Gene set enrichment results based on nominally significant TWAS genes (P<0.05). by Kunling Huang (10099350)

Significance levels of gene biomarkers. by Zongjin Li (38031)

Subjects:

Decreasing fluconazole susceptibility of clinical South African <i>Cryptococcus neoformans</i> isolates over a decade by Serisha D. Naicker (8648370)

Table 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…These results were not detectable by standard 16S analysis based on relative abundances. Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…These results were not detectable by standard 16S analysis based on relative abundances. Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…These results were not detectable by standard 16S analysis based on relative abundances. Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”