1.1 --- a/grant.txt Wed Apr 15 15:12:52 2009 -0700 1.2 +++ b/grant.txt Wed Apr 15 18:54:05 2009 -0700 1.3 @@ -94,6 +94,8 @@ 1.4 \cite{venkataraman_emage_2008} todo 1.5 1.6 1.7 +\cite{chin_genome-scale_2007} uses a Student's t-test with Bonferroni correction to determine whether a gene is overexpressed in a specific anatomical region. 1.8 + 1.9 \cite{hemert_matching_2008} describes a technique to find combinations of marker genes to pick out an anatomical region. They use an evolutionary algorithm to evolve logical operators which combine boolean (thresholded) images in order to match a target image. Their match score is Jaccard similarity, which is equal to the number of true pixels in the intersection of the two images, divided by the number of pixels in their union. 1.10 1.11 In summary, only one of the previous projects explores combinations of marker genes, and none of their publications compare the results obtained by using different algorithms or scoring methods.