S9 File - by Martha R. Smith (20410184)

Subjects:

S7 File - by Martha R. Smith (20410184)

Subjects:

Participant characteristics of included studies. by Martha R. Smith (20410184)

Subjects:

Most significant annotation class for benchmark vs. other genes. by Corbin Quick (9363574)

“…<p>Most significant single-annotation test (x-axis) for genes with one or more gene-based p-value ≤ 5e-6. …”

The risk score was significantly related to the TME based on the ESTIMATE algorithm. by Yang Fu (295625)

Wage gaps by gender, sector and year. by Mingming Li (502877)

“…<div><p>Although the Chinese government has implemented a variety of measures, the gender wage gap in 21^st century China has not decreased. …”

Sample size estimation based on preliminary date. by Jacquelyn Y. Taylor (6386456)

Subjects:

Significant shared Gene Ontology (GO) terms by gene markers. by Sayantan Mitra (192071)

A summary of the significant leukemia classification research work based on gene datasets. by Mahwish Ilyas (17118167)

“…<p>A summary of the significant leukemia classification research work based on gene datasets.…”

The molecular functions for genes associated with significance peaks based on a GO analysis. by Katja R. Kasimatis (4683505)

Distribution of key metrics for assessing gene block and individual gene significance across PLS-based methods. by Muhammad Tahir (741682)

Subjects:

Venn diagram of number of genes found significantly associated with MCP in MAGMA gene-based test analyses. by Keira J. A. Johnston (6836690)

Top 21 significant genes arising from both the permutation-based test and the DNV rate-based test. by Enrique Audain (528623)

Summary of the earliest time point for significant WD-induced changes in NASH-associated markers. by Melinda H. Spooner (6551933)

“…The figure illustrates the earliest time point for a significant change in the marker abundance and whether the marker <b>Increased</b> or <b>Decreased</b> in response to the WD. …”

Phylogenetic analysis of <i>Anaplasma</i> spp. based on the partial 16S rRNA gene sequence. by Sumaira Sumaira (21453523)

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. …”