The significantly enriched GO terms related to cellular component. by Guohua Ji (436621)

The significantly enriched GO terms related to biological processes. by Guohua Ji (436621)

The results of technological change of IMFs based on the CFNDEA approach. by Seyed Ehsan Shojaie (19173226)

The results of efficiency change of IMFs based on the CFNDEA approach. by Seyed Ehsan Shojaie (19173226)

Changes of suitable habitat categories based on climate scenarios in the future. by Ehsan Ghafouri (21688451)

Changing threshold values adaptively during normal load changing. by Basem Abd-Elhamed Rashad (17781467)

Application of Machine Learning-Based Models to Understand and Predict Critical Flux of Oil-in-Water Emulsion in Crossflow Microfiltration by Henry J. Tanudjaja (12106715)

Subjects:

Properties of significantly differentially skipped exons in iNCCs. by Katherine A. Wood (9192966)

Evaluating models based on the most significant oscillation variables that contribute to the catch rate of each marlin species. by Sandipan Mondal (19506919)

The channel changes of each layer base and after prune. by Jing Wang (6206297)

Splenic volume does not show significant changes in NSCLC patients with and without clinical benefit treated with pembrolizumab. by Francesca Castagnoli (13015226)

Subjects:

Using Western Blotting to Validate 5 Significantly Changed Genes (NAFLD Samples= 6, Control Samples = 6). by Jianguo Ma (2119684)

Taxa with relative abundances significantly changed by the filtration bias as introduce by the different filtration volumes (first experiment) and as identified using EdgeR. by Corentin Fournier (5088941)

The ranking list of statistically significant effects based on the partial Eta² values. by Anna Chrzanowska (6580742)

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. …”