The analysis employs concentrations of microbial targets with 24% or higher positive rates excluding those classified in the third group by PCA shown on Fig 3 (i.e., HF183, Pig-2-Bac, GII-FRNAPH-gene, GIV-FRNAPH-gene, GIV-FRNAPH-inf, crAssphage, PMMoV, E. coli, FPH-plaque, FPH-MPN, and FDNAPH). Circles (○) and triangles (Δ) refer to the indicators quantified based on gene and viability, respectively. The vertical and horizontal axes indicate principal components (PC) 1 and 2, which explained 40.0% and 27.5% of the total information, respectively. (TIF)</p
<p>PCA plot shows the first three principal components of microarray data in respect to their correl...
<p>(a) The T-RFLP profiles were classified into two clusters by hierarchical cluster analysis (orang...
<p>Blue, red, and green plots show young children, adults and the elderly, respectively. Arrows indi...
The analysis employs concentrations of microbial targets with 24% or higher positive rates (i.e., HF...
The analysis employs concentrations of microbial targets with 68% or higher positive rates (i i.e., ...
(A) PCA analysis on microbiome abundance data. Data was CLR transformed before the analysis. Success...
<p>Temp: Temperature, DO: Dissolved oxygen, NO<sub>2</sub>: Nitrite, NO<sub>3</sub>: Nitrate, PO<sub...
<p>Principal components (PCs) 1 and 2 explained 34.2% and 24.8% of the variance, respectively.</p
<p>PCA was carried out on genus-level microbiome datasets, as described in the text. PC1, PC2, and P...
<p>Error bars showed standard error of the mean of PCA weighted loading values for connected (C) and...
<p>Data for NGT (n = 44), Pre-DM (n = 64) and T2DM (n = 13) subjects were plotted on the first two p...
<p>Score plot of the three principal components (PC) after principal component analysis (PCA) of tot...
<p>The plot shows two principal components resulting from a principal component analysis performed o...
<p>Score plot of the three principal components (PC) after PCA of the total bacterial genera informa...
<p>PCA displayed 92% and 92.3% of variance for microbial fingerprints and sequencing respectively. M...
<p>PCA plot shows the first three principal components of microarray data in respect to their correl...
<p>(a) The T-RFLP profiles were classified into two clusters by hierarchical cluster analysis (orang...
<p>Blue, red, and green plots show young children, adults and the elderly, respectively. Arrows indi...
The analysis employs concentrations of microbial targets with 24% or higher positive rates (i.e., HF...
The analysis employs concentrations of microbial targets with 68% or higher positive rates (i i.e., ...
(A) PCA analysis on microbiome abundance data. Data was CLR transformed before the analysis. Success...
<p>Temp: Temperature, DO: Dissolved oxygen, NO<sub>2</sub>: Nitrite, NO<sub>3</sub>: Nitrate, PO<sub...
<p>Principal components (PCs) 1 and 2 explained 34.2% and 24.8% of the variance, respectively.</p
<p>PCA was carried out on genus-level microbiome datasets, as described in the text. PC1, PC2, and P...
<p>Error bars showed standard error of the mean of PCA weighted loading values for connected (C) and...
<p>Data for NGT (n = 44), Pre-DM (n = 64) and T2DM (n = 13) subjects were plotted on the first two p...
<p>Score plot of the three principal components (PC) after principal component analysis (PCA) of tot...
<p>The plot shows two principal components resulting from a principal component analysis performed o...
<p>Score plot of the three principal components (PC) after PCA of the total bacterial genera informa...
<p>PCA displayed 92% and 92.3% of variance for microbial fingerprints and sequencing respectively. M...
<p>PCA plot shows the first three principal components of microarray data in respect to their correl...
<p>(a) The T-RFLP profiles were classified into two clusters by hierarchical cluster analysis (orang...
<p>Blue, red, and green plots show young children, adults and the elderly, respectively. Arrows indi...