Hi,

just to follow up with my first post, dealing with interaction term
analysis of RNA-seq 2-factor expt.  In case anyone is interested,
package egdeR offers explicit examples how to evaluate potential
interaction effects in multi-factorial design.  Section 3.3 specifically.

cheers

galeb


Galeb S. Abu-Ali, DVM, PhD
ORISE Fellow

Division of Molecular Biology
Center for Food Safety and Applied Nutrition
U.S. Food and Drug Administration
8301 Muirkirk Road
Laurel, MD 20708

(240) 402 3695
galeb.abu-ali@fda.hhs.gov<https://webmail.fda.gov/owa/redir.aspx?C=gd8_swQGmEyTnnsl5KrApdNupyzkR9AIlS4rHtgTQAkWp01Gbec94M2etJR-0PyoCUJ-ek2qIQM.&URL=mailto%3agaleb.abu-ali%40fda.hhs.gov>

> sessionInfo()
R version 3.0.1 (2013-05-16)
Platform: x86_64-pc-linux-gnu (64-bit)

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C
LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8
LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8
 [7] LC_PAPER=C                 LC_NAME=C
LC_ADDRESS=C               LC_TELEPHONE=C
LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base

other attached packages:
[1] edgeR_3.2.3  limma_3.16.5

loaded via a namespace (and not attached):
[1] tools_3.0.1

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