Determination of the differentially expressed genes in microarray experiments using local FDR.
Determination of the differentially expressed genes in microarray experiments using local FDR.
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DOI：
10.1186/1471-2105-5-125
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发表时间：
2004-09-06
影响因子：
3
通讯作者：
Robin S
中科院分区：
文献类型：
--
作者：
Aubert J;Bar-Hen A;Daudin JJ;Robin S
为了在微阵列实验中检测差异表达的基因，需要对全基因组数据集中的数千个基因进行零假设检验。假阳性基因在一组基因中的预期比例，称为假发现率（FDR），已被提出来衡量这组基因的统计显著性。存在用于控制FDR的各种程序。然而，阈值（通常为5%）是任意的，并且与每个基因相关的特定测量将是值得的。使用过程强度估计方法，我们定义和估计的局部FDR，这可能被认为是一个基因是一个假阳性的概率。在全局评估规则控制假阳性误差后，局部FDR是决定基因是否差异表达的有价值的准则。该方法的兴趣是示出了三个众所周知的数据集。用于根据p值计算局部FDR估计值的R例程可在。与每个基因相关联的局部FDR测量其为假阳性的概率。它提供了计算任何给定克隆组（相同基因）或属于相同调控网络或相同染色体区域的基因的FDR的机会。
Thousands of genes in a genomewide data set are tested against some null hypothesis, for detecting differentially expressed genes in microarray experiments. The expected proportion of false positive genes in a set of genes, called the False Discovery Rate (FDR), has been proposed to measure the statistical significance of this set. Various procedures exist for controlling the FDR. However the threshold (generally 5%) is arbitrary and a specific measure associated with each gene would be worthwhile. Using process intensity estimation methods, we define and give estimates of the local FDR, which may be considered as the probability for a gene to be a false positive. After a global assessment rule controlling the false positive error, the local FDR is a valuable guideline for deciding wether a gene is differentially expressed. The interest of the method is illustrated on three well known data sets. A R routine for computing local FDR estimates from p-values is available at . The local FDR associated with each gene measures the probability that it is a false positive. It gives the opportunity to compute the FDR of any given group of clones (of the same gene) or genes pertaining to the same regulation network or the same chromosomic region.
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DOI：
10.1111/j.1467-9868.2004.00439.x
发表时间：
2004-01-01
影响因子：
5.8
作者：
Storey, JD;Taylor, JE;Siegmund, D
通讯作者：
Siegmund, D
影响因子：
56.9
作者：
Golub, TR;Slonim, DK;Lander, ES
通讯作者：
Lander, ES
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y
影响因子：
5.7
作者：
Dudoit, S;Shaffer, JP;Boldrick, JC
通讯作者：
Boldrick, JC
DOI：
10.1073/pnas.1530509100
发表时间：
2003-08-05
影响因子：
11.1
作者：
Storey, JD;Tibshirani, R
通讯作者：
Tibshirani, R