官方服务：
资源简介：
Surrogate Variable[42] loadings by technology.
应用场景：
创建时间：
2015-12-02
相关数据集
Model estimates for predicting fecal hormone values.
Linear regression models included the explanatory variables found to be significant predictors. Possible fixed factors included: sex, age, age2, and month.
NIAID Data Ecosystem90
Active substances showing significant effects on gene expression levels in LIFE-Adult and hence adjusted for in gene expression analysis.
Active substances showing significant effects on gene expression levels in LIFE-Adult and hence adjusted for in gene expression analysis.
NIAID Data Ecosystem60
Adjusted odds ratios for ischaemic stroke risk.
Full list of age/gender, and serum iron-adjusted odds ratios for ischaemic stroke risk for the specified variable, where an inverse association with stroke risk is indicated by an odds ratio 2 indicat
Figshare2015-12-02 更新30
Statistics of the regression models relating genome size with dN/dS and 16S rRNA as predictor variables using Generalized Least Square and Phylogenetic Least Square analyses.
We highlighted the models that were statistically significant (α = 0.05).
NIAID Data Ecosystem80
Mean and standard deviation of the z-score values calculates with CDC-LMS and GPR methods.
Mean and standard deviation of the z-score values calculates with CDC-LMS and GPR methods.
NIAID Data Ecosystem50
