Dataset: 11.1K articles from the COVID-19 Open Research Dataset (PMC Open Access subset)
All articles are made available under a Creative Commons or similar license. Specific licensing information for individual articles can be found in the PMC source and CORD-19 metadata.
More datasets: Wikipedia | CORD-19
Deep Learning Technology: Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. The Web Conference 2020 (WWW'20)
Funded by The Federal Ministry for Economic Affairs and Energy; Grant: 01MD19013D, Smart-MD Project, Digital Technologies
How to cite this article: Philp, L. K. et al. Small Glutamine-Rich Tetratricopeptide Repeat-Containing Protein Alpha (SGTA) Ablation Limits Offspring Viability and Growth in Mice. Sci. Rep.
6, 28950; doi: 10.1038/srep28950 (2016).
All data presented as mean ± SEM of parameters. Shapiro-Wilk tests of normality and Levenes statistic tests of homogeneity of variance were performed and Q-Q plots assessed for all parameters. One-way ANOVA, with pairwise comparisons (Tukey or Dunnett’s T3 post-hoc), was used to determine the effect of genotype (WT, Sgta+/−, Sgta−/−) on mRNA expression. The effect of genotype, age (20, 60 wks) and sex (male, female) on body weight were assessed using a linear mixed model. Two-way ANOVA, with pairwise comparisons (Sidak or Dunnett’s T3 post-hoc), was used to determine the effect of genotype, age, sex and their interaction on the remaining parameters. If tests of normality failed, non-parametric Median tests were employed. Likewise, if data did not display homogeneity of variance, post-hoc tests in which equal variances are not assumed (Dunnett’s T3) were employed. Observed vs expected frequencies of genotype and sex were assessed by Chi-square analyses using GraphPad Prism ver.6.04 and linear regression analyses to determine relationships between variables (Pearson score (R) and P value) were performed using SigmaPlot ver.11; all other aforementioned statistics were performed using Statistical Package for Social Scientists ver.20. P < 0.05 was considered statistically significant.