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. 2013 Mar 28;9(3):e1003414. doi: 10.1371/journal.pgen.1003414

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© 2013 Wang et al

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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In module (A), the co-expression patterns between the two genes GOT1 and ERV14 depend on the joint genotype of the two loci. For samples with genotype (1,1) the co-expression correlation is different from the other samples. Hence the proper parameter setting in the conditional bivariate model is () where only two parameters are required. Similarly, in module (B), the co-expression patterns between the two genes PTP2 and GAB1 can be classified to three categories with the proper parameter setting being (). (C) The two candidates in module A, Yip1 and Mst28, may interact to regulate GOT1 and ERV14 through the mediator complex Sec23/Sec24. (D) The two candidates in module B, Hog1 and Ssk22, may interact to regulate PTP2 and GAB1 through two TFs Rlm1 and Yap1.

Inline graphic — In module (A), the co-expression patterns between the two genes GOT1 and ERV14 depend on the joint genotype of the two loci. For samples with genotype (1,1) the co-expression correlation is different from the other samples. Hence the proper parameter setting in the conditional bivariate model is () where only two parameters are required. Similarly, in module (B), the co-expression patterns between the two genes PTP2 and GAB1 can be classified to three categories with the proper parameter setting being (). (C) The two candidates in module A, Yip1 and Mst28, may interact to regulate GOT1 and ERV14 through the mediator complex Sec23/Sec24. (D) The two candidates in module B, Hog1 and Ssk22, may interact to regulate PTP2 and GAB1 through two TFs Rlm1 and Yap1.