i think the question boils down to:
if the confidence is associated with the sample size you used for training
for a classification algorithm, like decision tree.

there is some report on how to get confidence estimation from decision tree,
like the following:
http://www.tigr.org/~salzberg/murthy_thesis/node53.html

but how to use that to estimate the sample size, i think you might need to
build another model on that, which is personal idea.

Weiwei

On 4/21/06, Malick.PAYE@eu.biomerieux.com <Malick.PAYE@eu.biomerieux.com>
wrote:
>
>
>
> Hello all,
>
> I work  for a in vitro diagnostic company (www.biomerieux.com) and we are
> interessed in classification of microarray data.
>
> We have identified a molecular signature based on a custom array and we
> are planning to evaluate the performance of this signature on a large
> scale.
>
> I have been asked to estimate sample size requirements for a given target
> sensibility/specificity and I can't find papers or tools dealing with it
> except on paper focused on sample size estimation when using Linear
> Discriminant Analysis. So I would like to know if someone hear about a
> general approach (paper or software) to deal with sample size estimation
> for microarray data classification or model performance evaluation.
>
> Any help will be greatly appreciated,
>
> Thanks in advance,
>
> Malick Paye | bioMérieux | Biomathematician
> Phone: (+33)4 78 87 70 97 | Fax: (+33)4 78 87 53 40
> [Parc Polytec, 5 Rue des Berges, 38004 Cedex 01  Grenoble, France]
>
>
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--
Weiwei Shi, Ph.D

"Did you always know?"
"No, I did not. But I believed..."
---Matrix III

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