%0 Journal Article
	%A U. Kairov and  T. Karpenyuk and  E. Ramanculov and  A. Zinovyev
	%D 2012
	%J International Journal of Biotechnology and Bioengineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 72, 2012
	%T Categorization and Estimation of Relative Connectivity of Genes from Meta-OFTEN Network
	%U https://publications.waset.org/pdf/307
	%V 72
	%X The most common result of analysis of highthroughput
data in molecular biology represents a global list of
genes, ranked accordingly to a certain score. The score can be a
measure of differential expression. Recent work proposed a new
method for selecting a number of genes in a ranked gene list from
microarray gene expression data such that this set forms the
Optimally Functionally Enriched Network (OFTEN), formed by
known physical interactions between genes or their products. Here
we present calculation results of relative connectivity of genes from
META-OFTEN network and tentative biological interpretation of the
most reproducible signal. The relative connectivity and
inbetweenness values of genes from META-OFTEN network were
estimated.
	%P 1080 - 1083