les-package(les)
les-package()所属R语言包：les
Identifying Differential Effects in Tiling Microarray Data
查明在平铺芯片数据的不同影响
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The 'les' package estimates Loci of Enhanced Significance (LES) in tiling microarray data. These are regions of regulation such as found in differential transcription, CHiP-chip, or DNA modification analysis. The package provides a universal framework suitable for identifying differential effects in tiling microarray data sets, and is independent of the underlying statistics at the level of single probes.
LES包估计在瓦片芯片的数据增强意义（LES）的位点。这些区域的监管，如发现差转录，芯片的芯片，或DNA修饰分析。该软件包提供了一个通用的框架，适合为确定平铺微阵列数据集的不同影响，是独立的单探针水平的基本统计。
Details
详情----------Details----------
The 'les' package provides a universal framework for detecting differential effects in tiling microarray experiments.
LES包提供了一个通用框架，在瓦片芯片实验检测差影响。
It is universal in the sense that one is free to choose any statistical test to estimate the effect of differential effect for each probe on the tiling microarray. Provided with the p-values for each probe and the corresponding positions of the probes, 'les' uses a sliding window approach to estimate the fraction of regulated probes in the local surrounding of each probe. The approach is related to computing a spatially resolved and weighted false discovery rate, and yields a interpretable statistical feature Lambda.
它是普遍的，在这个意义上，一个是可以自由选择任何统计测试，估计效果差的影响，每个探针上的瓦片芯片。与p值探针，每个探针和相应的位置提供的，LES使用滑动窗口的方法来估算调节探针在每个探针的地方周围的一小部分。该方法是有关计算解决空间和加权虚假发现率，并产生1可解释的统计特征Lambda。
Resulting regions can be scored according to their overall effect. Methods for high-level plotting and export of the results to other software and genome browsers are provided.
根据他们的整体效果，造成区域可以砍下。提供高层次的策划和结果出口到其他软件和基因组浏览器的方法。
The 'les' package is published under the GPL-3 license.
LES包发布在GPL下-3许可证。
作者（S）----------Author(s)----------
Julian Gehring, Clemens Kreutz, Jens Timmer
Maintainer: Julian Gehring <julian.gehring@fdm.uni-freiburg.de>
参考文献----------References----------
Estimation of gene induction enables a relevance-based ranking of gene sets, Journal of Computational Biology: A Journal of Computational Molecular Cell Biology 16, no. 7 (July 2009): 959-967. http://www.liebertonline.com/doi/abs/10.1089/cmb.2008.0226
参见----------See Also----------
Class: Les
类别：Les
Methods and functions: Les estimate threshold regions ci chi2 export plot
方法和功能：Lesestimatethresholdregionscichi2exportplot
举例----------Examples----------
data(spikeInStat)
x <- Les(pos, pval)
x <- estimate(x, 200)
x <- threshold(x)
x <- regions(x)
subset <- pos >= 5232300 & pos <= 5233200
x <- ci(x, subset, conf=0.90, nBoot=50)
## plot data[＃绘图数据]
plot(x, region=TRUE)
plot(x, region=TRUE, error="ci")
## Not run: [＃无法运行：]
## export data of chromosome 1[＃1号染色体的出口数据。]
export(x, file="les_out.bed", chr=1)
export(x, file="les_out.wig", format="wig", chr=1)
## End(Not run)[＃结束（不运行）]
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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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发表于 2012-2-25 23:06:52
