Entering edit mode
At 06:37 AM 27/09/2005, kevin Lin wrote:
>Dear Gordon and other users,
>
>Based on Limma usersguide and the hint you sent me, "the #of columns
in
>designmatrix is equal to the #of RNA sources-1 for two-color direct
>comparisons". This is what I did using command modelMatrix.
This advice, and the use of modelMatrix() itself, actually applies
only to
connected designs. Your design is unconnected. You need to assemble
the
design matrix by hand.
The solution is quite simple, and I've answered virtually the same
question
on this list before. Basically you just put the design matrices for
the two
connected parts of your experiment together. Rather than giving the
solution again here, I think a longer term solution is to say that you
really should consult one of the senior statisticians in your
department.
The MDACC employs many experienced statisticians, some of whom are
experts
in microarray analysis.
>## something i don't understand ##
>1) why my corfit$consensus is NaN? Am I supposed to get a number
which
>indicates a relation between two block arrays(first 2 and last 2).
You have no business using blocking here. The two pairs of arrays are
reflected in your design matrix, not in the error structure.
Gordon
>2) If ignoring NaN, the result of lmFit has a message "not estimable:
KO
>UV" which is the coefficient I am most interested in ("KO UV/WT
control").
>What is happening here?
>
>Again, my TargetsGenePix is
>>TargetsGenePix
> SlideNumber
> FileName Cy3 Cy5
>FG WT rep1 Sep2005 3215L FG WT rep1 Sep2005.gpr WT control
WT UV
>FG WT rep2 Sep2005 3202OL FG WT rep2 Sep2005.gpr WT UV WT
control
>FG KO rep2 Sep2005 3215OL FG KO rep2 Sep2005.gpr KO control
KO UV
>FG KO rep1 Sep2005 3202L FG KO rep1 Sep2005.gpr KO UV KO
control
>
>design <- modelMatrix(TargetsGenePix, ref="WT control")
>
>> design
> KO control KO UV WT UV
>FG WT rep1 Sep2005 0 0 1
>FG WT rep2 Sep2005 0 0 -1
>FG KO rep2 Sep2005 -1 1 0
>FG KO rep1 Sep2005 1 -1 0
>
>corfit <- duplicateCorrelation(MAgpr, design, ndups=1,
block=c(1,1,2,2))
>> corfit$consensus
>[1] NaN
>
>> fit <- lmFit(MAgpr, design)
>Coefficients not estimable: KO UV
>
>Thanks for your time
>
>Kevin