JP Feb 23 16

Julia Preziosi

Heyer's code, most recent http://www.bio.davidson.edu/courses/Bio343/2016/goi_supervised.txt

Set up a way to filter out genes whose data has a lot of 0s. Can supervise clustering when the data set is small enough (11,000 is too big for R to graph). Can find a gene listed in the "toSearch" list = goi (gene of interest). Can set a threshold for correlation to gene of interest.

Between correlation distance and supervised clustering, we can locate genes of interest. Still need to be able to sort by Gene Ontology term. (That's what we're doing).

• Find genes differentially regulated b/t fed and nonfed; that are differentially expressed at the beginning of the cascade.
• May have to chase individual genes to find a good candidate gene.