Table 7_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…</p>Conclusion<p>Flow cytometry is a laborious method, but identified a higher number of significant microbiome changes in comparison to common compositional data analysis and even revealed to be superior to a spike-in method. …”

Table 9_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…</p>Conclusion<p>Flow cytometry is a laborious method, but identified a higher number of significant microbiome changes in comparison to common compositional data analysis and even revealed to be superior to a spike-in method. …”

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

“…</p>Conclusion<p>Flow cytometry is a laborious method, but identified a higher number of significant microbiome changes in comparison to common compositional data analysis and even revealed to be superior to a spike-in method. …”

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

“…</p>Conclusion<p>Flow cytometry is a laborious method, but identified a higher number of significant microbiome changes in comparison to common compositional data analysis and even revealed to be superior to a spike-in method. …”

Image 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif by Stefanie Wagner (743707)

“…</p>Conclusion<p>Flow cytometry is a laborious method, but identified a higher number of significant microbiome changes in comparison to common compositional data analysis and even revealed to be superior to a spike-in method. …”

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

“…</p>Conclusion<p>Flow cytometry is a laborious method, but identified a higher number of significant microbiome changes in comparison to common compositional data analysis and even revealed to be superior to a spike-in method. …”

Operational data. by Andrew L. Mariotti (17457504)

Data ste. by Neng Pan (5262032)

“…Following the intervention, the HIIT NW group exhibited a marked increase in limb lean mass, which led to a significant rise in the skeletal muscle index (SMI) (p < 0.001). …”

Anova results for significance testing. by Ameer Ahmed (17778236)

Raw data. by Pingling Kwok (14896191)

Subjects:

Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

Data_Sheet_1_An Acute Permethrin Exposure Causes Significant Microbial Shifts in Montastraea cavernosa.PDF by Nicholas J. MacKnight (12194660)

“…In permethrin treated coral, this study documented a significant increase in Burkholderia pyroccinnia and Bacillus sp., bacteria groups known to bioremediate insecticides. …”

IMP-1088 decreases infectivity of progeny VACV particles. by Lalita Priyamvada (421536)

“…Ct values at different dilutions of purified DNA from the two treatments are shown. Data analyzed using Multiple t tests and statistical significance determined using the Holm-Sidak method, with alpha = 5%. …”

Deletion of <i>Trgal11</i> resulted in a significant decrease in the transcription of cellobiohydrolase and endoglucanase but not β-glucosidase genes. by Fanglin Zheng (4844064)

IRI group exhibited a significantly greater decrease in proportion of gambles accepted compared to the IRI group in the second block. by Yasuhiro Mochizuki (3308349)

Cell proliferation was significantly decreased in full-length HPV16 E1 (pEGFP-E1) transfected cells. by Fern Baedyananda (11888703)

Performances of the three machine learning models based on ten-fold cross-validation and walk-forward validation: Multiple linear regression (MLR), random forest (RF), and a deep n... by Yingjie Hu (1579000)

Optogenetic stimulation of the hippocampal CA1 astrocytes does not significantly affect the expression of AMPA receptors or VGLUT2. by Jae-Hong Kim (124622)

“…Results are expressed as mean ± SD (<i>n</i> = 4). n.s., not significant (one-way ANOVA). Source data can be found in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3002687#pbio.3002687.s025" target="_blank">S1 Data</a>.…”

LCN2 treatment does not significantly alter the membrane expression of AMPA receptors or VGLUT2 in the hippocampal neurons. by Jae-Hong Kim (124622)

“…*<i>p</i> < 0.05 between the indicated groups (one-way ANOVA). Source data can be found in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3002687#pbio.3002687.s025" target="_blank">S1 Data</a>.…”

Significant relationships between QOL measures on infusion day and day 7. by Jordan K. Abbott (8934239)

Subjects: