In order to rank terms, we compared each terms score (by either method) to a distribution of scores between the same term and randomly selected gene sets.
In statistical terms, we compared the unconditional probability that a parallel activity will occur at any time with the conditional probability of this activity occurring at the same time as primary activity.
Therefore, keeping in mind that we wish to evaluate the efficiency of our algorithms in practical terms, we compared their performance to the respective performance of the C implementationa of the optimal average-case algorithm for multiple approximate string matching, presented in [ 17], for matching the r= m rotations of x.
In more precise terms, we compare the effects of R&D co-operation to those played by traditional internal factors and those exerted by external, pure and rent spillovers on the innovation capacity of the firms.
Based on GO term analysis, we compared pathways (electron transport, glycolysis, proteosome, ribosome) with fold changes (up/oppositely expressed) of common genes and cell line specific pathways.
In order to assess the effect of consolidation on adult-born neuron survival and long-term retention, we compared two associative learning paradigms in which the inter-trial interval (ITI) was varied in order to facilitate or hamper the consolidation process.
Currently to the best of our knowledge, there are not any other discriminative classifier approach that performs predictions on GO terms, therefore, we compared GOPred annotations with ConFunc [36], PFP [37], and GOtcha [38] annotations on the above-mentioned twelve protein sequences.
To determine whether the strains that are able to coinfect A. mellifera also recombine more frequently than other strains in their core genome, which would be indicative of long-term coexistence, we compared the topologies of all 790 single gene trees (fig. 9).
To verify an accumulation of proteins in a given ancestor term, we also compared the ratio of proteins annotated to a given GO term to the total number of proteins available from the GOA database, which was used as an unbiased standard dataset (Table S3 in additional file 5).
To measure the quality of the automatically extracted terms and events, we compared Pfizer's text-mined terms supplied with each article (input) with the terms selected by CTD biocurators for curation (output).
