built-in principle component analysis of raw data function  (MathWorks Inc)

Journal: The ISME Journal

Article Title: Expression profiling of host and virus during a coccolithophore bloom provides insights into the role of viral infection in promoting carbon export

doi: 10.1038/s41396-017-0004-x

Figure Lengend Snippet: a Heat-map representation of viral gene expression levels (Et value, color scale bar) of 25 viral genes (x axis, infection phase and gene number) at 37 environmental samples, specifying station number and water depth (y axis), arranged by hierarchical clustering. b Principle component analysis (PCA) of the viral expression values for each environmental sample plotted over the axes of 1st component (PC1) vs. 2nd component (PC2). Samples are marked in a blue “+” or a red “x” according to the hierarchical clustering in the heat-map (a). c Coefficient values of viral genes for PC1 (x axis) and PC2 (y axis). The labels “Early” in blue, “Mid” in green, and “Late” in red represent the association of each viral gene to different phases of infection based on transcriptomic analysis [23, 24]. The gene number is depicted according to Supplementary Table S3

Article Snippet: Principle component analysis was conducted on normalized Et values using the principle component analysis (PCA) function in MATLAB (MathWorks).

Techniques: Gene Expression, Infection, Environmental Sampling, Expressing