<p>Species are indicated by different colors and shapes (green squares, <i>Alseis blackiana</i>; red triangles, <i>Tetragastris panamensis</i>; blue circles, <i>Heisteria concinna</i>). Organic acids (Orange): Tar;Tartaric acid, Cit;Citric acid (monohydrate), KG;α-Ketoglutaric acid, Lac;Lactic acid, Mal;L-(-)-Malic acid, Oxa;Oxalacetic acid, Pyr;Pyruvic acid, Shk;Shikimic acid, Suc;Succinic acid, Aminoacids (green): Ala;Alanine, Arg;Arginine, Asp;Asparagine, AspA;Aspartic acid, Glu;Glutamine, GlutA;Glutamic acid, Iso;Isoleucine, Leu;Leucine, Phe;Phenilalanine, Pro;Proline, ProH;Hydroxy-rolin, Ser;Serine, Thr;Threonine, Try;Trypthofan, Tyr;Tyrosine, Val;Valine, Phenolics Compounds (lilac): Api;Apigenine, CafA;Caffeic acid, Cat;DL-catechin, C...
Metabolomic technologies produce complex multivariate datasets and researchers are faced with the da...
Large amounts of data from high throughput metabolomic experiments are commonly visualized using a p...
<p>Principal component analysis (PCA) and orthogonal projection to latent structures - discriminant ...
<p>(A) PCA scores plot of absolute concentration of metabolites in control roots (Root), (h)GSH-depl...
Two-dimensional principal component analysis (PCA) of metabolite quantities obtained using LC/DFI-MS...
As discussed in the main text after PCA, the original data are reduced to a number of significant PC...
<p>AWCD after 96 h incubation was used as input data. Samples are represented by blue squares, with ...
Fig. 3. Principal component analysis (PCA) and hierarchical cluster analysis of various pigmented ma...
Fig. 3. PCA (A) and HCA (B) analyses of 13 metabolites quantified in the extracts of shoots of in vi...
<p>A) PCA scores plot. Solvent control (red), <i>S</i>-Carvedilol (blue) and <i>R</i>-Carvedilol (gr...
Fig. 4. PCA (A) and HCA (B) analyses of 13 metabolites quantified in the extracts of shoots of ex vi...
Principal Component Analysis (PCA) loadings data corresponding to metabolites quantified by NMR, LC/...
Metabolomic technologies produce complex multivariate datasets and researchers are faced with the da...
Motivation: Metabolomics datasets are generally large and complex. Using principal component analysi...
MOTIVATION: Metabolomics datasets are generally large and complex. Using principal component analysi...
Metabolomic technologies produce complex multivariate datasets and researchers are faced with the da...
Large amounts of data from high throughput metabolomic experiments are commonly visualized using a p...
<p>Principal component analysis (PCA) and orthogonal projection to latent structures - discriminant ...
<p>(A) PCA scores plot of absolute concentration of metabolites in control roots (Root), (h)GSH-depl...
Two-dimensional principal component analysis (PCA) of metabolite quantities obtained using LC/DFI-MS...
As discussed in the main text after PCA, the original data are reduced to a number of significant PC...
<p>AWCD after 96 h incubation was used as input data. Samples are represented by blue squares, with ...
Fig. 3. Principal component analysis (PCA) and hierarchical cluster analysis of various pigmented ma...
Fig. 3. PCA (A) and HCA (B) analyses of 13 metabolites quantified in the extracts of shoots of in vi...
<p>A) PCA scores plot. Solvent control (red), <i>S</i>-Carvedilol (blue) and <i>R</i>-Carvedilol (gr...
Fig. 4. PCA (A) and HCA (B) analyses of 13 metabolites quantified in the extracts of shoots of ex vi...
Principal Component Analysis (PCA) loadings data corresponding to metabolites quantified by NMR, LC/...
Metabolomic technologies produce complex multivariate datasets and researchers are faced with the da...
Motivation: Metabolomics datasets are generally large and complex. Using principal component analysi...
MOTIVATION: Metabolomics datasets are generally large and complex. Using principal component analysi...
Metabolomic technologies produce complex multivariate datasets and researchers are faced with the da...
Large amounts of data from high throughput metabolomic experiments are commonly visualized using a p...
<p>Principal component analysis (PCA) and orthogonal projection to latent structures - discriminant ...