Hi,
Can anyone point me to a quick-and-dirty resource/tutorial for microarray data analysis (preferably with R)? I need to complete a project within the week, and I want to get started as soon as possible.
Thanks
For microarray, I found limma package the best with so many examples etc. At the beginning you might be a little confused but believe me the best package is Limma. On the other hand, the best is to describe the data you have and the goal. By doing so, you can get a lot of help here
Note:
You can also look at the right side of your question, you can find all similar question in this website and it is a great help to look at them first
Use of this site constitutes acceptance of our User Agreement and Privacy Policy.
version 2.3.6
See post Analysing Microarray Data In Bioconductor by Obi Griffith, the 'quick'n dirty' ("just need the commands don't need to understand") tutorial by Daniel Swan is linked in the same post, it has some good explanation of what each code block is doing though, so you won't be totally in black-box mode. looks like you can go through that in one day.
http://bioinformatics.knowledgeblog.org/2011/06/20/analysing-microarray-data-in-bioconductor/
BTW: you didn't tell us anything relevant about your assignment.
It's not a tutorial per se, but the limma user's guide contains a bunch of examples and explanations.
What microarray platform?
Well, the idea is to identify a subset of differentially expressed genes in lower respiratory tract epithelial cells that could facilitate MERS coronavirus invasion. So it's essentially compare and subtract. Only I don't know where to start or how to go about this.