Raw data used to calculate the statistical significances stated in the result section. by Tom Adriaenssens (397863)

Subjects:

Manhattan plot that shows the location of genes involved in folate, homocysteine, and transsulfuration pathways for which we observed, from hybrid analyses, a significantly decreased risk of obstructive heart defects when the risk variant was paternally-derived compared to maternally-derived, The National Birth Defects Prevention Study, USA, October 1997–August 2008 births. by Jenil Patel (10271373)

“…<p>Manhattan plot that shows the location of genes involved in folate, homocysteine, and transsulfuration pathways for which we observed, from hybrid analyses, a significantly decreased risk of obstructive heart defects when the risk variant was paternally-derived compared to maternally-derived, The National Birth Defects Prevention Study, USA, October 1997–August 2008 births.…”

List of the hub-genes whose degree decreased from IL and PL to LHB. by Souvik Seal (12437166)

Subjects:

Significant genes identified in the gene-based test with GWAS summary data. by Samantha Gonzales (8798435)

“…<p>Significant genes identified in the gene-based test with GWAS summary data.…”

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. …”

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:

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. …”

Table 8_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 2_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 6_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 5_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. …”