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High-throughput gene expression data can predict gene function through the "guilt by association" principle: coexpressed genes are likely to be functionally associated.
Given the above observations, we then tried to apply the "guilt by association" principle to address the issue of FPs and FNs associated with RNAi screens.
The guilt by association principle states that genes with similar functions will tend to be associated (or possess similar properties), allowing previously unknown functions of a gene to be statistically inferred given some prior knowledge about other genes, and association data.
A series of novel hybrid compounds of isatin and Michael acceptor were designed and synthesized on the basis of association principle.
Herein, using association principle of drug design, OA disaccharide 17 was designed and synthesized by coupling a-L-rhamnopyranosyl(1→2 -a-L-arabinopyranosyl disaccharide moiety, which has proved to be a unique sugar sequence with strongly antitumor activity, and modified OA with a nitrile at C-1→2 -a-L-arabinopyranosyl
These algorithms are often based on the "guilt by association" principle that suggests that interacting neighbors in protein-protein interaction (PPI) networks might also share a function [9] [11].
Functional annotation based on expression data is usually founded on the "guilt by association" principle: since there is a strong correlation between coexpression and functional relatedness, a gene found to be coexpressed with several others involved in a given biological process can be predicted to be involved in the same process [1] [3].
It seems that the guilt by association principle is also valid in terms of gene spatial distribution.
We first verify the "guilt by association" principle by showing that RNAi hits are significantly more connected than random cases.
An increasing number of network-based methods built on "guilt by association" principle have also been used to identify drug repositioning candidates.
Based on the guilt by association principle, it is likely that Hcrt and Pmch share related functions, which are different from that of Avp.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com