The numbers of recombination breakpoints present in each gene region(对每一个基因的表达和不表达是否随机,选择游程检验) and in incremented windows of sizes 200 and 500 nucleotides(对于incremented windows,表达的计数服从Poisson分布) were counted. A Chi-squared goodness of fit test was used to see whether the observed numbers of recombination breakpoints differ significantly from a random distribution(卡方拟合优度检验是检验breakpoints显著不是随机分布!). The expected numbers of breakpoints for each window were assumed to follow a Poisson discrete distribution(每一个window的期望计数expected number,服从泊松分布,那么就显著不是随机分布). The appropriateness of this distribution was tested by simulating the locations of breakpoints randomly (10,000 times) and for each performing the Chi-squared goodness of fit test. The number of times the Chi-squared value for the simulated data exceeded the value for the Poisson distributed was counted.(对incremented windows 的表达次数进行记录,记录出每一种次数出现的频次,并运用Poisson分布的公式计算出每一种次数的期望频次,最后进行卡方拟合优度检验,看实际频次与期望频次是否拟合,拟合则说明数据服从泊松分布,而非随机分布)
通过卡方拟合优度进行泊松分布的检验比较麻烦,可以直接在...成为会员可查看全部,【点击成为会员】 |