- ... Classification'1
- See
section 3.3 for information on loading labelings.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...
genes2
- CompClust is capable of supporting other types of data
beyond gene expression data.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ... K=5'3
- See
section 3.4 if you haven't run DiagEM yet.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ... color.4
- Note
that all color calculations are based on all the comparisions for a
given column. If you were to redo this plot as 'DiagEM' vs 'Cho'
instead of 'Cho' vs 'DiagEM', the results will probably be very
similar, but the color coding may change significantly. If we looked
at the same comparison of 'DiagEM Cluster #4' vs 'Cho's S Phase
Cluster' in the 'DiageEM' vs 'Cho' plot, the color would be calculated
as 2 out of 74 (2.70%), which would make it much more red than it is
in our current plot.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.