In order to, at least partially, overcome the problem of weak data sets, two of the studies strengthened the evidence for impact of malaria control activities on malaria-attributed morbidity and mortality by providing corroborating data on associated parameters such as parasitaemia and anaemia prevalence (Aregawi et al. 2011; Chizema-Kawesha et al. 2010; Steketee et al. 2008).
The first of these relates to incomplete or weak data sets used by the studies, as explicitly acknowledged by some study authors, which meant study findings had to be interpreted with caution (Aregawi et al. 2011; Chizema-Kawesha et al. 2010; Jia et al. 2010).
In our approach, we utilize the data variability by exploiting mutual information values which are too weak in the whole data set to either pass a statistical test or which are not the maximum mutual information value for any gene.
However, the three scales were highly correlated and this reflects a property of our data set: weak inter-item correlations which neither support a clear unidimensional structure nor a structure of independent components.
Although most of the strongest miRNA-mRNA correlations are not likely to be due to direct targeting, it is possible to detect in the data set a weak effect that is consistent with miRNA targeting to specific mRNAs.
Susko et al. [ 28] used a heatmap approach to characterize the consistency of relationships within the Gamma-proteobacteria, and found weak phylogenetic agreement within the data set.
Although the signal for the basal phenotype among ER-negative tumors was weaker than in the whole data set, in which the classification may have been highly influenced by the strong ER-related signal, it was statistically highly significant (1,713 genes were identified with p < 0.05; see Additional file 2 for the top 200 genes).
Components of a network show the level of connectivity of a network, our data set has 1 Weak and 210 Strong components.
Pearson's product-moment correlation test on the total 37 observations in the overall data set revealed a weak positive linear relationship (r = 0.35) between full seed ratio and germination rate of those collected seed (p < 0.05; Additional file 1).
For a data set of eight dates at three study sites, we confirmed that the relation between ERS-2 C-band SAR σ0 and θs was weak (r2=0.27); yet for the same data set, that the relation between σ0−σdry0 and θs was strong and significant (r2=0.93).
