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Our method can handle multiple data sources such as expression correlation datasets, co-occurrence of protein names in literature obtained via text-mining, or cross-species sequence comparisons (e.g. orthology networks [34], [35]).
List of references that had data which was included in the heritability or genetic correlation datasets, also including information on the species studied and the location of the parameter estimates within the reference.
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The theoretical NMR correlation dataset is the upper limit of number of correlations that are possible with a given constitution.
Such datasets will have very little effect on the network produced by an un-weighted method, as very few pairs of genes are taken, and they have to "compete" with larger (more significant correlations) datasets.
All maps are normalized relative to cells from the head segments, as in Fig. 4. c, Pearson correlation between datasets 1 and 2 by segment.
Although results varied between species, there is no indication of high correlation between datasets.
Using Π, V and W to describe the correlation among datasets only requires O KD) parameters, which is significantly less complex than O(3 D ) parameters.
Correlations between datasets were calculated by the Pearson product moment correlation coefficient in MATLAB.
We have found a positive correlation between dataset size and performance.
With this correlation, a dataset of correction factors was derived which can be used by architects and building engineers to calculate the OTTV of air-conditioned commercial buildings constructed with double skin façade.
The correlations between datasets and algorithms enhance to search and generate appropriate datasets with corresponding algorithms.
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