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Our results demonstrated that a previously reported protein nameco-occurrence method (5-mention PubGene) which was not based on a hypothesistesting framework, it is generally statistically more significant than the 99thpercentile of Poisson distribution-based method of calculating co-occurrence.It agrees with previous methods using natural language processing to extractprotein-protein interaction from text as more than 96% of the interactionsfound by natural language processing methods to overlap with the results from5-mention PubGene method. However, less than 2% of the gene co-expressionsanalyzed by microarray were found from direct co-occurrence or interactioninformation extraction from the literature. At the same time, combiningmicroarray and literature analyses, we derive a novel set of 7 potentialfunctional protein-protein interactions that had not been previously describedin the literature.

Filtering Microarray Correlations by Statistical Literature Analysis Yields Potential Hypotheses for Lactation Research