Projects/laydi
Archived
7
0
Fork 0
Code Issues Pull Requests Activity

Implemented Limma function for Affy workflow.

Browse Source 
Extended ScatterPlot to take two datasets and updated code using it.
This commit is contained in:
Truls Alexander Tangstad
2006-05-09 13:17:17 +00:00
parent 033d4d5333
commit 5b1af849dc
6 changed files with 144 additions and 24 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
workflows/pca_workflow.py
View File

@@ -102,9 +102,9 @@ class PCAFunction(Function):
#tsq = dataset.Dataset(tsq,[singel_def,data_ids[1])
## plots
loading_plot1 = plots.ScatterPlot(P,'genes','comp','1','2')
loading_plot2 = plots.ScatterPlot(P,'genes','comp','3','4')
score_plot = plots.ScatterPlot(T,'samples','comp','1','2')
loading_plot1 = plots.ScatterPlot(P,P,'genes','comp','1','2')
loading_plot2 = plots.ScatterPlot(P,P,'genes','comp','3','4')
score_plot = plots.ScatterPlot(T,T,'samples','comp','1','2')
return [T,P,E,loading_plot1,loading_plot2,score_plot]