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Data from: CLIP test: a new fast, simple and powerful method to distinguish between linked or pleiotropic quantitative trait loci in linkage disequilibria analysis
An important question arises when mapping quantitative trait loci (QTLs) for genetically correlated traits: is the correlation due to pleiotropy (a single QTL affecting more than one trait) and/or clo
DataONE2015-04-09 更新80
Response surface models for the Elliott, Rothenberg, and Stock unit-root test
In this article, we present response surface coefficients for a large range of quantiles of the Elliott, Rothenberg, and Stock (1996, Econometrica 64: 813– 836) unit-root tests, for different combinat
DataCite Commons2024-02-28 更新60
Results of the Bonferroni-corrected pairwise comparisons between the three conditions of Experiment 3.
Results of the Bonferroni-corrected pairwise comparisons between the three conditions of Experiment 3.
Figshare2022-11-09 更新50
Independent contribution (%) of lake, season and individual or total abundances of parasites retained as having a significant effect (from Table 4), to the explained variation of the hierarchical partitioning models performed on common bully ( Gobiomorphus cotidianus ) body condition as estimated by scaled mass index (SMI) and Fulton's condition factor (CF).
Significance (in bold) was reached at the 95% confidence interval based on a randomized permutation test (see methods). Bold values indicate significance at P< 0.05.
NIAID Data Ecosystem70
Empirical type I error rates at the significant level of 0.05 for LKM and PCA.
The type-I error rates significantly different from the nominal type-I error level are highlighted by using italics font.
NIAID Data Ecosystem50
