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Understanding the bases for differences in cognitive impairment among different mouse models of DS will guide mechanism-based drug design.
To understand the bases for differences in the rate of resistance development in sheep versus cattle parasites, it is important to first demonstrate that the same kinds of resistance alleles exist in both.
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Furthermore, fingerprinting of L. pneumophila strains has shown that the genotypes of isolates from patients and from the environment differ markedly [ 6] indicating that a genetic base for differences in virulence does exist.
In the current review we discuss historical, cultural, social and biological bases for sex differences in addiction with an emphasis on sex differences in the neurotransmitter systems that are implicated.
Connectomes were then compared using two complementary methods: permutation tests for pair-wise connections and Network Based Statistics to probe for differences in large network components.
Using high density oligonucleotide based microarrays, we screened for differences in mRNA expression caused by E2 and eccentric exercise.
The estimated sample size for the t-test is based on a test for differences in mean scores of decision conflict (SURE scores) pre and post intervention.
Based on the potential for differences in risk behavior among students attending the model and regular schools, we incorporated both school types into the sampling design.
The estimated sample size for the Phase 2 study is based on a test for differences in mean scores of decision support quality and knowledge in the intervention versus the control group.
To do so, we calculated the median lymphocyte count GWAS P-value for an expanding subset of gene SNP pairs, after ordering genes based on the evidence for differences in expression levels between individuals with high or low lymphocyte count.
We thus tested the null hypothesis that SNPs classified as eQTLs for the genes ranked at the top of the list based on the evidence for differences in expression levels between individuals with high or low lymphocyte count are not more likely to be ranked at the top of the independent list based on the strength of the genetic association with lymphocyte count.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com