A binary relation dataset typically falls into one of the two categories: (1) choice data, for which each data entry (whether "0" or a "1") reflects an active decision (either a positive or negative relation); and (2) association data, for which the "0"s indicate only an absence of a relation, and are usually much less informative than the "1"s.
> -wrap-foot> Next, we applied seven previously published methods for extracting protein protein interactions to our connectivity relation dataset.
There are some relation phrase datasets, such as Patty [19] and ReVerb [13] that can be used for this purpose.
We can use machines to identify more complex signals and relations in datasets far bigger than any human could analyse.
The positive (i.e., in the sense of conflict mitigating) impact of decentralization is maximized in countries with high GDP per capita.30 Cederman et al. (2015) and Tranchant (2016) use the Ethno-Power Relations (EPR) dataset on all 800 politically relevant ethnic groups worldwide and find that territorial autonomy and fiscal decentralization, respectively, tend to reduce ethnic civil wars.
In addition to many known protein relations, our dataset allows for the inference of previously unknown functional links.
A GBrowse displays the physical maps in relation with other datasets (e.g., genetic markers, reference sequences, QTLs, and SNPs).
This result statistically shows a relation between the datasets which is suggestive of a common transcriptional profile pattern for the apical growing cells in a plant.
In summary, we have presented the overall GPCR repertoire of rats and analysed it in relation to updated datasets for human and mouse.
Principal component analysis shows a statistical relation between the datasets of RHs and PTs which is suggestive of a common transcriptional profile pattern for the apical growing cells in a plant, with overlapping profiles and clear similarities at the level of small GTPases, vesicle-mediated transport and various specific metabolic responses.
