Sentence examples for multiple populations with from inspiring English sources

Genome-wide association studies (GWAS) of multiple populations with distinctive genetic and lifestyle backgrounds are a crucial step in understanding global CAD pathophysiology.

Replication of the most significantly associated polymorphisms in multiple populations with distinctive genetic backgrounds and lifestyles is crucial to the understanding of the pathophysiology of a multifactorial disease like CAD.

Finally, this neural network can be extended to the case of multiple populations with different sizes and vertex degrees (of which a very special example is the complete k-partite graph, whose topology is generally irregular).

The proposed ELPSO algorithm addresses the drawbacks from prior work in three aspects: (1) Our algorithm attempts to achieve the global optimal from multiple populations with super best guide.

To understand the dynamics and outcome of the competitive interactions within and between groups, we study game-dynamical replicator equations for multiple populations with incompatible interests and different power (be this due to different population sizes, material resources, social capital, or other factors).

However, these instruments are not available for all types of disease, necessitating the use of generic instruments designed for multiple populations with varying conditions.

Zircons from BIF show multiple population with the oldest showing a spot age of 2503 Ma, followed by a number of distinct groups of Paleoproterozoic zircons corresponding to later thermal events.

The preponderance of associations in multiple populations combined with the magnitude of these associations clearly indicates that the genomic region containing TRIB1 plays a critical role in human lipid metabolism.

The ocular surface contains multiple populations of cells with stem cell-like properties.

Human sequences from multiple populations were aligned with the chimpanzee, gibbon, and rhesus sequences for the TLR2 and TLR4 genes.

Data heterogeneity due to using multiple populations may conflict with model assumptions used in linear regression methods.