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Two proposed algorithms include Dash and Druzdzel's [ 49] pseudo-Bayesian independence testing approach and Tian et al.'s [ 50] interval-based algorithm, which employs interval estimates of the joint probability of the variables obtained from possible completions of the incomplete data.
This idea of independence testing is utilised in finding an independence score of a feature.
Additional file 8 denotes the information of conditional independence testing results between without and with Bonferroni correction in cancer network.
Independence testing was conducted using the chi-squared method; two suitable SSRs were found, both of which are on LG9: CJG0101S and CJG0177_S (Additional file 4).
We present a computational method for inferring genetic regulatory networks from micorarray data automatically with transcription factor analysis and conditional independence testing to explore the potential significant gene regulatory networks that are correlated with cancer, tumor grade and stage in the prostate cancer.
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In short, the PC-Algorithm makes a cleverly arranged series of conditional independence tests to transform the data matrix into the skeleton.
As independence test we used the Fisher Exact Test for marginal independencies and a simulation based test (implemented in coindep_test in the R-package vcd) for conditional independencies.
This was followed by a three-dimensional chi-square partial independence test to determine if each of the three variables is independent of the other two.
The independence test is the hardest to pass.
Table 2 Grid independence test.
Therefore, the mesh independence test is an important aspect of simulating the three-phase separators. 2.
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