There is no tutorial (yet) available but it will come early next year.
In the meantime, you can take a look at the analysis pipeline and the
code published with the following publication:
Haibe-Kains, B., Desmedt, C., Loi, S. M., Culhane, A. C., Bontempi,
G., Quackenbush, J. F., & Sotiriou, C. (2012). A three-gene model to
robustly identify breast cancer molecular subtypes. Journal of the
National Cancer Institute, 104(4), 311325. doi:10.1093/jnci/djr545
Hope this helps.
On Nov 8, 2013, at 14:38 , Levi Waldron <email@example.com>
> FYI in case you're not watching the BioC listserv...
> ---------- Forwarded message ----------
> From: Peterson, Leif <firstname.lastname@example.org>
> Date: Fri, Nov 8, 2013 at 1:23 PM
> Subject: [BioC] PAM-50 genefu example with Hu-133A GEO datasets
> To: "email@example.com" <firstname.lastname@example.org>
> Are there any online tutorials (documents) for implementing genefu
> perform subtype class prediction using several e.g. Hu-133A GEO
> ca datasets?
> Thx, LP
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