A genome-wide analysis of common fragile sites: what features determine chromosomal instability in the human genome?

ors – 1], which corresponded to ∼0.02 and 0.05 for the logistic and standard regression, respectively), (5) further reduced the model iteratively eliminating predictors based on their coefficients' P -values and variance inflation factors; this led to models retaining only predictors significant or marginally significant after Bonferroni correction for multiple testing and with variance inflation factors below 5 (unless noted otherwise), and (6) considered quadratic models comprising square and pairwise product terms obtained from these final sets of predictors—no quadratic terms were found significant in any of the analyses ( Fox 2002 ).

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The optimal logistic model captures 76.97% of the null deviance and comprises four highly significant genomic features ( Table 2 ; P -values are given in the table).

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