profilePlot(eisa)
profilePlot()所属R语言包:eisa
Profile plots for ISA biclusters
为ISA biclusters剖面图
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Line plots to compare biclusters to the background,
线图比较biclusters背景,
用法----------Usage----------
profilePlot (modules, module, eset, plot = c("samples", "features",
"both"), norm = "default", background = TRUE,
col = gray(0.7), col.mod = 1, type = "l", type.mod = type,
mean = TRUE, meancol = "green", meancol.mod = "red",
xlabs = c("Features", "Samples"), ylab = "Expression",
...)
参数----------Arguments----------
参数:modules
An ISAModules object.
ISAModules对象。
参数:module
Numeric scalar, the module to plot.
数字标量,的图模块。
参数:eset
An ExpressionSet or ISAExpressionSet object. If an ExpressionSet object is supplied (and the norm argument is not set to "raw"), then it is normalised by calling ISANormalize on it. A subset of eset is selected that corresponds to the features included in modules.
ExpressionSet或ISAExpressionSet对象。如果ExpressionSet对象提供(和norm参数没有被设置为“原始”),然后调用ISANormalize标准化。被选中对应的功能包括在esetmodules的一个子集。
参数:plot
Character constant, specifies what to plot. "sample" plots sample scores, "features" plots feature scores. If "both" is given, then the plot is divided into two subplots and both scores are plotted.
字符常量,指定什么图。 “样品”图样本分数,功能图功能评分。如果两,那么该图划分成两个次要图和绘制两个分数。
参数:norm
Character constant, specifies how to normalize the expression matrix for plotting. It can be of length one or two, the latter for the case when plots are made both for features and samples. Possible values: "raw" uses the raw expression values; "feature" uses featExprs to extract the expression values from the expression set object; "sample" uses sampExprs; "default" means "feature" for sample plots and "sample" for feature plots.
字符常量,指定如何绘制表达矩阵标准化。图功能和样品时,它可以是一个或两个长度,后者的情况下。可能的值:raw使用原始表达式的值;feature使用featExprs提取的表达集对象的表达式的值;sample 使用sampExprs;default是指feature样地和“sample功能小区。
参数:background
Logical scalar, whether to plot the features/samples that are not in the module.
逻辑标量,是否绘制功能/模块的样品。
参数:col
Color of lines corresponding to the background features/samples.
颜色的线对应的背景特征/样本。
参数:col.mod
Color of the lines corresponding to the features/samples included in the module.
颜色的线对应的功能/模块中包含的样本。
参数:type
Type of the plot, for the background features/samples. It is passed to plot.
键入的图,背景功能/样本。它是通过plot。
参数:type.mod
Type of the plot, for the features/samples included in the module. It is passed to plot.
图类型,功能/模块中包含的样本。它是通过plot。
参数:mean
Logical scalar, whether to plot the mean expression for each feature/sample, separately for the samples/features that are in the module and the ones that are not.
逻辑标量,是否绘制每个功能/样本的平均表达,样品/功能模块和那些不分开。
参数:meancol
Color of the line for the mean expression values, background.
线的平均表达值,背景的颜色。
参数:meancol.mod
Color of the line for the mean expression values, module.
平均表达值,模块线的颜色。
参数:xlabs
Character vector of length one or two. The labels of the horizontal axes of the plot, the second value is used if both the feature and the sample plots are drawn.
特征向量的长度为一个或两个。图水平轴的标签,第二个值是用来绘制功能和样地。
参数:ylab
Character vector of length one. The label of the vertical axes.
特征向量的长度为一。垂直轴的标签。
参数:...
Additional graphical arguments. They are passed to the lines function that creates the lines of the plot.
额外的图形参数。它们传递给lines函数创建的图线。
Details
详情----------Details----------
plot="both" uses the mfrow graphical parameter to create the two subplots. This does not work properly if you already have subplots.
plot="both"使用mfrow图形参数来创建两个次要图。这不正常,如果你已经有次要图。
值----------Value----------
None. (Well, NULL, invisibly.)
没有。 (嗯,NULL,无形)。
作者(S)----------Author(s)----------
Gabor Csardi <a href="mailto:Gabor.Csardi@uni.ch">Gabor.Csardi@uni.ch</a>
参考文献----------References----------
analysis of large-scale gene expression data Phys Rev E Stat Nonlin Soft Matter Phys. 2003 Mar;67(3 Pt 1):031902. Epub 2003 Mar 11.
参见----------See Also----------
The similar parallelCoordinates function
类似parallelCoordinates功能
举例----------Examples----------
data(ALLModulesSmall)
library(ALL)
data(ALL)
if (interactive()) {
profilePlot(ALLModulesSmall, 2, ALL, plot="samples")
}
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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