Match gene lists based on information in literature
This workflow computes the match between a list of proteins and a term of interest by means of concept profile matching (Jelier et al., van Haagen et al.). The result of this is a list of concepts ordered by their matching score (the length of the list set by maxMatchNr). Of this list the summed scores are explained by computing the concepts that contribute most to the combination of the matching protein and the query term.
E.g. (by analogy) when a group of informaticians is matched against biology, the informaticians working in biology may be ranked on top, while the most enriched concept among such an informatician and biology may be 'bioinformatics'.
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