ANN: Bioconductor short course June 1-3 in Seattle
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Seth Falcon ★ 7.4k
@seth-falcon-992
Last seen 10.2 years ago
What: A three day Bioconductor course taught by Robert Gentleman. Topics include: - Day 1 Preprocessing, quality assessment, normalization - Day 2 Differential expression, annotation - Day 3 Visualization and Machine Learning Where: The Fred Hutchinson Cancer Research Center, Seattle, Washington, USA. When: June 1 -- June 3, 2005 Interested in registering or getting more information? Please visit: http://www.bioconductor.org/signup
Preprocessing Visualization Cancer Preprocessing Visualization Cancer • 1.0k views
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Fangxin Hong ▴ 810
@fangxin-hong-912
Last seen 10.2 years ago
Hi Seth; Would you please give us more description about the courses? Is it also suitable for a statistician? Or will you offer some courses which are applicable to statistician working on biological field. Thanks! Fangxin > What: > A three day Bioconductor course taught by Robert Gentleman. Topics > include: > - Day 1 Preprocessing, quality assessment, normalization > - Day 2 Differential expression, annotation > - Day 3 Visualization and Machine Learning > > Where: > The Fred Hutchinson Cancer Research Center, Seattle, Washington, > USA. > > When: > June 1 -- June 3, 2005 > > Interested in registering or getting more information? Please visit: > > http://www.bioconductor.org/signup > > _______________________________________________ > Bioconductor mailing list > Bioconductor@stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > > -- Fangxin Hong, Ph.D. Plant Biology Laboratory The Salk Institute 10010 N. Torrey Pines Rd. La Jolla, CA 92037 E-mail: fhong@salk.edu
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Seth Falcon ★ 7.4k
@seth-falcon-992
Last seen 10.2 years ago
"Fangxin Hong" <fhong@salk.edu> writes: > Hi Seth; > > Would you please give us more description about the courses? Is it also > suitable for a statistician? Or will you offer some courses which are > applicable to statistician working on biological field. I'll let Robert correct me if I get this wrong, but my sense is that the course is entirely appropriate for a statistician working in biology given that they have some experience using R. This is not an intro to R course, but a how to use Bioconductor to work on datasets that arise in biology (principally microarray). Does that help? Best, + seth
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