Significant variables in decreasing importance for varietal clustering based on Random forest method. by Wilfried Chevalier (10521466)

Significant disease phenotypes with LADA loci. by Margaret Sunitha Selvaraj (13994016)

Phenotype and molecular identification of <i>GmNN1/FT2a</i> in stable transgenic soybean plants. by Xinxin Li (281237)

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Genome-wide significant SNPs for meat L*15 min and a*15 min. by Jiahong Sun (6497603)

Positional cloning of <i>qNN1</i> on chromosome 16. by Xinxin Li (281237)

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Shoot-to-root translocation of GmNN1/FT2a regulates soybean nodulation. by Xinxin Li (281237)

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Functions of <i>GmNN1/FT2a</i> in nitrogen nutrition and nodulation. by Xinxin Li (281237)

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<i>GmNN1/FT2a</i> expression analysis. by Xinxin Li (281237)

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NN analysis to assign the importance of variables. by Sulmaz Ghahramani (3387635)

Treatment with ICs causes a significant decrease in podocyte proliferation. by George Haddad (470789)

Significant marginal variants are unevenly distributed across sex-based phenotypes. by Adam N. Spierer (10325544)

Significant whole genes are distributed throughout the genome and sex-based phenotypes. by Adam N. Spierer (10325544)

The significant results of LDSC and MR analyses for the significant phenotypic pairs. by Ting Fu (468057)

Plant growth, nodulation, and N content as affected by manipulating of GmNN1/FT2a. by Xinxin Li (281237)

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Expression of <i>GmNN1/FT2a</i> in various tissues of soybean plants. by Xinxin Li (281237)

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GmNN1/FT2a interacted with GmNYFA-C in the BiFC assay. by Xinxin Li (281237)

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Gene specific primers used for <i>GmNN1/FT2a</i> fine mapping. by Xinxin Li (281237)

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Significant 43 phenotypes based on heritability (h^2) with z-score > 4. by Salvatore D’Antona (14134889)

Mappings that yield more significant genes are associated with fewer significant gene sets. by David Groenewoud (12275512)

“…For each phenotype, we reported Spearman’s rank correlation coefficient (ρ) and its associated <i>p</i>-value (<i>p</i>) for a test of negative correlation based on all mappings (including gene bodies with 250kb flanks, gene bodies with 500kb flanks, and gene bodies with 1000kb flanks, which are not depicted on the graphs themselves but provided in Table B in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1009908#pcbi.1009908.s014" target="_blank">S6 Table</a>). …”

Statistics for modules with eigengenes that correlated significantly with pCO₂ concentration. by Laura H. Spencer (14025963)