This dataset is derived only from the following prediction approaches: neighborhood, transferred neighborhood, gene fusion, co-occurrence, transferred co-expression, text mining, and transferred text mining.
The "predicted functional associations dataset" consists of STRING PPIs that are generated only from the following prediction approaches: gene neighborhood, transferred neighborhood, gene fusion, and co-occurrence, transferred co-expression, text mining, and transferred text mining.
The STRING database provided a score for each gene-gene interaction, which is computed as the joint probability of the probabilities from the different evidence channels (protein interaction, fusion, co-expression, text mining, etc)., correcting for the probability of randomly observing an interaction [ 22].
Apart from incorporating experimental interaction data, STRING uses multiple methods to predict possible functional linkages including interolog-based interaction transfer, similar transcriptional response across a variety of conditions (co-expression), text-mining, and gene families that share above-random similarities in their evolutionary histories.
The point, says the startup, is to inject more expression into text messaging.
Bold's XPath expression: //w:(text,p[w:r[w:rPr/w:b]/w:t[contains text,'This is Bold')]].
Experimental results show that the cooperative clustering model outperforms the individual clustering algorithms over a number of gene expression and text documents datasets.
In addition, an anatomy ontology (4) is used to describe sites of expression using text annotations.
Pairs were considered to be recovered if they were found in the intersection of the top 5% of the expression and text similarity rankings.
