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To date, the widely used genome-wide association studies (GWASs) of the human genome have reported thousands of variants that are significantly associated with various human traits.
Several recent studies showed attempts to develop SC diagnostic systems based on objective and quantitative measurements of various human traits.
These aspects include various human traits, including thoughts, emotions, gestures, motivations and attitude (Salovey & Mayer [ 26]; Gross & John [ 27]).
Microarray technology was instrumental for the development of genome-wide association studies (GWASs), which have identified genetic variants associated with various human traits, including vaccine immunogenicity [ 3].
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Instead they emphasize the role of development in the production of various human behavioral traits.
Genome-wide association studies (GWAS) have been successful in identifying risk genetic variants for various human complex traits, and many GWAS have been deposited into dbGaP with genome results publicly available [ 1].
A number of genetic association studies have used networks to characterize epistatic interactions and have seen successful applications to various human diseases and traits [ 27– 29].
Our proneness to biobigotry, experts said, arises from several salient human traits.
Animals have been selected for traits that are important for various human communities [ 1, 2].
To correlate NRP2 expression with differentiation of hepatoma cells more closely, we analyzed various human HCC cell lines with differentiated and epithelial traits versus those exhibiting a de-differentiated and mesenchymal-like phenotype.
We have previously applied WGCNA approaches to complex traits in animal populations [ 17, 18], and the method has also proved to be reliable in various human diseases, e.g. different types of cancer [ 19, 20].
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