calculatePosteriorAvg(XDE)
calculatePosteriorAvg()所属R语言包:XDE
Calculate the posterior average for indicators of concordant and
一致指标的计算后的平均
译者:生物统计家园网 机器人LoveR
描述----------Description----------
This function calculates the posterior average for indicators of concordant and discordant differential expression from the saved log files. See details.
此函数计算后平均指标从保存的log文件的和谐与不和谐的差异表达。查看详情。
用法----------Usage----------
calculatePosteriorAvg(object, NCONC=2, NDIFF=1, burnin=0)
参数----------Arguments----------
参数:object
Object of class XdeMcmc
对象类XdeMcmc
参数:NCONC
Integer: number of studies for which the gene must be differentially expressed (in the same direction) to be classified as concordant differential expression
整数:必须差异表达基因的研究(在同一方向)被列为一致的差异表达
参数:NDIFF
Integer: number of studies for which a gene must be up- or down-regulated to be classified as differentially expressed. It is the union of concordant and discordant differential expression.
整数:多项研究,其中一个基因必须向上或下调归类差异表达。这是工会的和谐与不和谐的差异表达。
参数:burnin
Integer: number of MCMC iterations for the burnin. Posterior means are computed from the MCMC samples following burnin.
整数:燃尽的MCMC迭代的数量。后手段后,燃尽的MCMC样本计算。
Details
详情----------Details----------
For each iteration,
对于每次迭代,
1. calculate the sign of delta * Delta
1。计算DeltaDelta的标志
2. For each gene, compute the number of positive signs (P) and the number of negative signs (N) (a G x 2 matrix, where G is the number of genes in common across all studies). P + N is <= S, where S is the number of studies.
2。对于每一个基因,计算出一些积极的迹象(P)和负极标志数(N)(一个G×2矩阵,其中G是一些共同的基因在所有的研究)。 P + N <= S,其中S是多项研究。
3. for a given gene, the discordant indicator is simply when P * N is nonzero.
3。对于一个给定的基因,不和谐的指标仅仅是当P * N为非零。
4. The concordant indicator requires P * N = 0 AND P + N >= NCONC, where NCONC is specified by the user.
4。一致的指标要求,p * n = 0和p +信噪比> = NCONC,NCONC由用户指定。
5. differential expression is simply | P | + | N | >= NDIFF. By default, NDIFF is 1 but can be user-specified.
5。差异表达的仅仅是| P | + |暂无|> = NDIFF。默认情况下,NDIFF是1,但可以用户指定。
The posterior average is then computed from the mean over all MCMC iterations.
然后从平均超过所有的MCMC迭代计算后平均。
值----------Value----------
A G x 3 matrix.
一个G x 3矩阵。
作者(S)----------Author(s)----------
RS
参见----------See Also----------
posteriorAvg
posteriorAvg
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
注1:为了方便大家学习,本文档为生物统计家园网机器人LoveR翻译而成,仅供个人R语言学习参考使用,生物统计家园保留版权。
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