NCR-PCOPGene: An Exploratory Tool for Analysis of Sample-Classes Effect on Gene-Expression Relationships
Figure 1
Sample class definitions using the PCOPGene web interface. Example 1: in the SGC(GUCY1B3) and Q6(QSN6) relationship ((a) ), the samples of the two extremes of the SGC/Q6 inner pattern are clustered into two classes by clicking on the POPs, these classes are coloured in the GATA3 and AML1(RUNX1) relationship ((b) ). Example 2: in the GATA3 and AML1(RUNX1) comparison window (b), the samples of GATA3 over-expressed are grouped with the range-selection facility and coloured in the SGC and Q6 relationship (a). Example 3: in the GATA3, AML1(RUNX1), SGC and Q6 relationship ((c) ), the plot of the SGC and Q6 plane is shown. The coloured classes shown have been obtained by clustering the microarray experiments according to their correlation. These classes represent differentiated cell processes with different genes involved. ( = non-correlation factor provided by the PCOP
calculus [10]).
