A statistical analysis on these datasets exists in the work by Kazemi et al. [11].
A range of continental-scale soil datasets exists in Europe with different spatial representation and based on different principles.
About 85% of human and mouse, 31% of fly and 41% of yeast PPIs in our dataset exist in only one database.
This aircraft was selected because a complete dataset exists in the open domain, which can be used to validate SimSAC generated data.
For Egyptian Arabic-English, in particular, no parallel speech-transcription-translation dataset exists in the same domain.
A complementary dataset exists in the form of the NCI Repository for Molecular Brain Neoplasia Data (Rembrandt), which contains molecular and clinical data for diffuse gliomas across the full spectrum of histologic class and grade.
Since the four exons used in these datasets exist only in the ingroup species, the inclusion of the outgroup resulted in a loss of phylogenetic signal.
Furthermore, although large systematic datasets exist for in vitro binding specificity of human and mouse TFs determined using protein-binding microarrays (Badis et al., 2009) and high throughput SELEX (HT-SELEX; Jolma et al., 2013), these methods have not been previously used to systematically analyze specificities of many TF families from more distantly related organisms.
This is currently a difficult issue to address, as known variants are biased towards coding and promoter variants and no relevant datasets exist to train methods in the discrimination of true long-range enhancers.
Although this study focused in the CM disease, the method could be applied, in general, to any disease where separate datasets exist, such as those residing in microarray expression, proteomic and genomic data repositories.
