Beyond the scope of the manual and vigenettes of Category and GOStats,
I would like to understand more about ChrMapHyperGParams and
linearMTest.
After successfully using "GOHyperGParams" and "KEGGHyperGParams" with
platform-independent annotation database "org.Hs.eg.db", I tried to do
the same with "ChrMapHyperGParams" but kept getting error messages
that "org.Hs.egENTREZID" couldn't be found. This was unexpected as I
couldn't fanthom why ChrMapHyperGParams would need probes information.
I would like to get around this problem even with "org.Hs.eg.db" so
that my enrichment analysis would be complete for GO/Pathway/CHR.
hyperGTest and linearMTest use hypergeometric distribution and linear
model respectively as their names implied. What situations will either
tests be more suitable for ? Would both tests at same p-value cutoffs
give similar results ? Should I even favour hyperGTest or linearMTest
?
Previously, I used david and panther and wondered is it appropriate to
get FDR based on bonferroni-tests from the p-values of hyperGTest and
linearMTest. Would FDR be meaningful for GO/Pathway/CHR enrichment
analysis ?
Hope someone or the developer of GOStats/Category can answer my
queries.
On Sat, Apr 4, 2009 at 11:28 AM, Daren Tan <darentan76 at="" gmail.com="">
wrote:
> Beyond the scope of the manual and vigenettes of Category and
GOStats,
> I would like to understand more about ChrMapHyperGParams and
> linearMTest.
>
> After successfully using "GOHyperGParams" and "KEGGHyperGParams"
with
> platform-independent annotation database "org.Hs.eg.db", I tried to
do
> the same with "ChrMapHyperGParams" but kept getting error messages
> that "org.Hs.egENTREZID" couldn't be found. This was unexpected as I
> couldn't fanthom why ChrMapHyperGParams would need probes
information.
> I would like to get around this problem even with "org.Hs.eg.db" so
> that my enrichment analysis would be complete for GO/Pathway/CHR.
>
> hyperGTest and linearMTest use hypergeometric distribution and
linear
> model respectively as their names implied. What situations will
either
> tests be more suitable for ? Would both tests at same p-value
cutoffs
> give similar results ? Should I even favour hyperGTest or
linearMTest
> ?
>
> Previously, I used david and panther and wondered is it appropriate
to
> get FDR based on bonferroni-tests from the p-values of hyperGTest
and
> linearMTest. Would FDR be meaningful for GO/Pathway/CHR enrichment
> analysis ?
>
Hi Daren,
We aren't trying to ignore you. Everyone is just extra busy right now
because we are trying to do a release. We really appreciate you
letting
us know that there is a problem however. If you could please provide
me
with a specific testable example that does not work, this will greatly
help me to expedite the process of making sure that it does.
Otherwise
I have to guess about what happened and that takes A LOT longer.
Also,
please always post your sessionInfo() so that we know what version of
things you are working with. You might also find our posting guide to
be helpful.
http://www.bioconductor.org/docs/postingGuide.html
It's my hope that you might find some information for your other
questions in the Category vignettes here:
http://www.bioconductor.org/packages/devel/bioc/html/Category.html
Thanks again for your patience,
Marc
Daren Tan wrote:
> Hope someone or the developer of GOStats/Category can answer my
queries.
>
> On Sat, Apr 4, 2009 at 11:28 AM, Daren Tan <darentan76 at="" gmail.com="">
wrote:
>
>> Beyond the scope of the manual and vigenettes of Category and
GOStats,
>> I would like to understand more about ChrMapHyperGParams and
>> linearMTest.
>>
>> After successfully using "GOHyperGParams" and "KEGGHyperGParams"
with
>> platform-independent annotation database "org.Hs.eg.db", I tried to
do
>> the same with "ChrMapHyperGParams" but kept getting error messages
>> that "org.Hs.egENTREZID" couldn't be found. This was unexpected as
I
>> couldn't fanthom why ChrMapHyperGParams would need probes
information.
>> I would like to get around this problem even with "org.Hs.eg.db" so
>> that my enrichment analysis would be complete for GO/Pathway/CHR.
>>
>> hyperGTest and linearMTest use hypergeometric distribution and
linear
>> model respectively as their names implied. What situations will
either
>> tests be more suitable for ? Would both tests at same p-value
cutoffs
>> give similar results ? Should I even favour hyperGTest or
linearMTest
>> ?
>>
>> Previously, I used david and panther and wondered is it appropriate
to
>> get FDR based on bonferroni-tests from the p-values of hyperGTest
and
>> linearMTest. Would FDR be meaningful for GO/Pathway/CHR enrichment
>> analysis ?
>>
>>
>
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