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We next investigated the relationship between these genes using Ingenuity Pathways Analysis (IPA).
I reconstructed the relationships between these genes using Bayesian techniques, focussing particularly on deep arthropod relationships, in order to understand the origins of E spl -C bHLHO protE spl -Cg. 8).
We identified the 26 core effectors of TRAIL-mediated apoptosis signaling from the literature and determined whether the inter-relationships between these genes using the RF model would predict TRAIL-sensitivity.
The aim of our investigation was to identify genes that are differently expressed in ONFH vs. non-ONFH human bone and to describe the relationships between these genes using multivariate data analysis.
For this purpose, we estimated a probabilistic network of relationships between these genes using a Bayesian network estimation program, SiGN-BN [ 9, 10], implemented on the supercomputer system at Human Genome Center, The Institute of Medical Science, The University of Tokyo [ 11].
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For clarity in making comparisons between the data, we refer to these genes using our naming scheme (see Additional file 8: Table S4 for gene accession numbers).
Close biological relationships could be established between most genes using gene network analysis.
We describe levels of structural divergence between duplicated genes using four different measures.
We investigated the similarity of histone modification between neighboring genes using autocorrelation analysis and composite profiles.
Then we measure significance of CC between two genes using hypergeometric probability.
Then, we computed similarity between two genes using Gauss kernel with γ = 2.
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