Text S1. Relationship between one-sided chi-square test and Bayesian log-likelihood score (LLS) method
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چکیده
Here we show that the one-sided chi-square test used for evaluating the significance of the overlap between the RH network and other existing datasets and the Bayesian loglikelihood score (LLS) approach used for integrating diverse datasets [1,2] are closely related. The Fisher’s exact test was used instead of the chi-square test when the expected value in a cell of the contingency table was ≤ 50 (see Methods). However, the chi-square test approximates the Fisher’s exact test and useful insights into the overlap analysis are obtained through examining the chi-square test.
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