<p>Spawned and stripped oocytes are identified by prefixes SP and ST, respectively. Different circles highlight the three groups considered for further analysis. Principal Component 1 (PC1) and Principal Component 2 (PC2) correspond to X axis and Y axis, respectively.</p
<p>Two-dimensional PCA shows that global miRNA expression patterns are different in ovarian cancer c...
<p>2D scatter plot shows principal component analysis (PCA) of miRNA deep sequencing data. The two a...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
<p>(<b>A</b>): Biplot showing the scores of each datum obtained from IMM and MIV oocytes plotted aga...
<p>Scatter plot of oocytes that were naturally ovulated (NO), superovulated (SO) or matured in vitro...
<p>Red points are OVCAR-3 cells, and green points are ovarian cancer stem cells at six different tim...
<p>PCA on the data from traditional morphometrics, excluding ovariole number and spermatheca size.</...
PCA of the quantile normalized dataset consisting of 32 mouse uterine RNA samples. The colours repre...
<p>Principal component analysis of all the quantified potential N-glycopeptide ions was performed wi...
The star symbol near the origin of the axes indicates the pooled dataset of overlapping genes, while...
<p>PCA on the traditional morphometrics data, excluding ovariole number and spermatheca size.</p
<p>a. In the discovery dataset, the 5 tumor and 1 control methylation classes were represented by th...
Principal component analysis from gene expression of LIBD sample and replication sample (PITT); x ax...
<p>(A) Two-dimensional PCA map of cell types, comparing PC1 and PC3. (B) Three-dimensional map compa...
Principal component analysis (PCA) was performed using the prcomp function from the R base package. ...
<p>Two-dimensional PCA shows that global miRNA expression patterns are different in ovarian cancer c...
<p>2D scatter plot shows principal component analysis (PCA) of miRNA deep sequencing data. The two a...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
<p>(<b>A</b>): Biplot showing the scores of each datum obtained from IMM and MIV oocytes plotted aga...
<p>Scatter plot of oocytes that were naturally ovulated (NO), superovulated (SO) or matured in vitro...
<p>Red points are OVCAR-3 cells, and green points are ovarian cancer stem cells at six different tim...
<p>PCA on the data from traditional morphometrics, excluding ovariole number and spermatheca size.</...
PCA of the quantile normalized dataset consisting of 32 mouse uterine RNA samples. The colours repre...
<p>Principal component analysis of all the quantified potential N-glycopeptide ions was performed wi...
The star symbol near the origin of the axes indicates the pooled dataset of overlapping genes, while...
<p>PCA on the traditional morphometrics data, excluding ovariole number and spermatheca size.</p
<p>a. In the discovery dataset, the 5 tumor and 1 control methylation classes were represented by th...
Principal component analysis from gene expression of LIBD sample and replication sample (PITT); x ax...
<p>(A) Two-dimensional PCA map of cell types, comparing PC1 and PC3. (B) Three-dimensional map compa...
Principal component analysis (PCA) was performed using the prcomp function from the R base package. ...
<p>Two-dimensional PCA shows that global miRNA expression patterns are different in ovarian cancer c...
<p>2D scatter plot shows principal component analysis (PCA) of miRNA deep sequencing data. The two a...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...