Metagene Projection Run on  Wed_Apr_18_14:49:05_2007
  
Model dataset: 
model.dataset.table
gct.file c:/CGP2006/MPM/Software_and_Examples/Lung/Lung.2.dataset.gct
cls.file c:/CGP2006/MPM/Software_and_Examples/Lung/Lung.1.model_set.2.cls
column.subset c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49)
column.sel.type samples
thres NULL
ceil NULL
fold 1
delta 0
norm 6
  
Test dataset: 1
V1
gct.file c:/CGP2006/MPM/Software_and_Examples/Lung/virtanen.gct
cls.file c:/CGP2006/MPM/Software_and_Examples/Lung/virtanen.cls
column.subset c(42, 43, 44, 46, 47, 48, 49, 53, 54, 55)
column.sel.type samples
thres NULL
ceil NULL
norm 6
   
Test dataset: 2
V1
gct.file c:/CGP2006/MPM/Software_and_Examples/Lung/michigan.gct
cls.file c:/CGP2006/MPM/Software_and_Examples/Lung/michigan.2.cls
column.subset c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34)
column.sel.type samples
thres 20
ceil 16000
norm 6
   
Test dataset: 3
V1
gct.file c:/CGP2006/MPM/Software_and_Examples/Lung/stanford_no_nulls.gct
cls.file c:/CGP2006/MPM/Software_and_Examples/Lung/stanford.3.cls
column.subset c(2, 8, 9, 13, 18, 28, 31, 34, 35, 36, 4, 11, 25, 30, 37, 42, 43, 50, 58, 59)
column.sel.type samples
thres NULL
ceil NULL
norm 6
   
Test dataset: 4
V1
gct.file c:/CGP2006/MPM/Software_and_Examples/Lung/jones_no_nulls.gct
cls.file c:/CGP2006/MPM/Software_and_Examples/Lung/jones.cls
column.subset c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
column.sel.type samples
thres NULL
ceil NULL
norm 6
   
Test dataset: 5
V1
gct.file c:/CGP2006/MPM/Software_and_Examples/Lung/virtanen.gct
cls.file c:/CGP2006/MPM/Software_and_Examples/Lung/virtanen.cls
column.subset c(45, 61, 62, 63, 64, 65, 66, 90)
column.sel.type samples
thres NULL
ceil NULL
norm 6
   
Test dataset: 6
V1
gct.file c:/CGP2006/MPM/Software_and_Examples/Lung/stanford_no_nulls.gct
cls.file c:/CGP2006/MPM/Software_and_Examples/Lung/stanford.3.cls
column.subset c(1, 10, 15, 16, 39, 40, 48, 55, 64, 69)
column.sel.type samples
thres NULL
ceil NULL
norm 6
   
Test dataset: 7
V1
gct.file c:/CGP2006/MPM/Software_and_Examples/Lung/boston.plus.cell.lines.maxed.2.gct
cls.file c:/CGP2006/MPM/Software_and_Examples/Lung/boston.plus.cell.lines.2.cls
column.subset c(1, 2, 3, 4, 5)
column.sel.type samples
thres NULL
ceil NULL
norm 6
   
Test dataset: 8
V1
gct.file c:/CGP2006/MPM/Software_and_Examples/Lung/virtanen.gct
cls.file c:/CGP2006/MPM/Software_and_Examples/Lung/virtanen.cls
column.subset c(1, 3, 7, 15, 17, 18, 23, 25, 26, 29, 33)
column.sel.type samples
thres NULL
ceil NULL
norm 6
   
Test dataset: 9
V1
gct.file c:/CGP2006/MPM/Software_and_Examples/Lung/NCI60.maxed.gct
cls.file c:/CGP2006/MPM/Software_and_Examples/Lung/NCI60.maxed.cls
column.subset c(1, 2, 3, 4, 5, 6, 7, 8, 9)
column.sel.type samples
thres NULL
ceil NULL
norm 6
   
Test dataset: 10
V1
gct.file c:/CGP2006/MPM/Software_and_Examples/Lung/GDS1688.maxed.gct
cls.file c:/CGP2006/MPM/Software_and_Examples/Lung/GDS1688.maxed.cls
column.subset c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
column.sel.type samples
thres NULL
ceil NULL
norm 6
   
Test dataset: 11
V1
gct.file c:/CGP2006/MPM/Software_and_Examples/Lung/virtanen.gct
cls.file c:/CGP2006/MPM/Software_and_Examples/Lung/virtanen.cls
column.subset c(5, 19, 20, 21, 22, 31, 35, 37)
column.sel.type samples
thres NULL
ceil NULL
norm 6
   
Test dataset: 12
V1
gct.file c:/CGP2006/MPM/Software_and_Examples/Lung/GDS1688.maxed.gct
cls.file c:/CGP2006/MPM/Software_and_Examples/Lung/GDS1688.maxed.cls
column.subset c(21, 22, 23, 24, 25, 26, 27, 28, 29)
column.sel.type samples
thres NULL
ceil NULL
norm 6
   
Parameters:
identifier= Lung.2
k.proj= 3
alg= NMF.div
niter= 2000
seed= 1789
nchar.phen= 3
postprojnorm= TRUE
heatmap.row.norm= FALSE
heatmap.cmap.type= 6
high.conf.thres= 0.3
output.dir= c:/CGP2006/MPM/Software_and_Examples/Lung/
col= blue red blue blue blue blue red red steelblue steelblue steelblue steelblue darkred darkred
symbs= 22 22 21 23 24 25 21 24 22 21 25 24 21 24
symbol.scaling= 0.55
kernel= radial
cost= 1
gamma= 5
theta= 0
lambda= 1
model.set.refinement= FALSE
