ilm-methods(affyILM)
ilm-methods()所属R语言包:affyILM
Methods to access the results of ilm.
方法来访问ILM的结果。
译者:生物统计家园网 机器人LoveR
描述----------Description----------
These methods allow to access the results of the function ilm stored in an object of type ILM.
这些方法允许ilm类型ILM对象存储访问函数的结果。
用法----------Usage----------
getIntens(object,y)
getProbeConcs(object,y)
getExprSummary(object,y,z)
getSDSummary(object,y,z)
参数----------Arguments----------
参数:object
An object of type ILM
对象的类型ILM
参数:y
A character string or vector of probe set name(s)
一个探针集名称的字符串或向量()
参数:z
A character string specifying the type of set that is requested
一个字符串,指定请求集类型
Details
详情----------Details----------
"getIntens()" is used to access the intensity values.
"getIntens()"用于访问的强度值。
The probe concentrations are calculated on behalf of the Langmuir model. For each probe (of a probeset) the concentration is estimated in picoMolar and can be accessed via "getProbeConcs()". Medianpolish, Transposed Medianpolish or Median can then be used to compute probeset summarized expression values.
代表Langmuir模型计算探针浓度。每个探针(一个probeset)浓度估计在皮摩尔可以通过"getProbeConcs()"访问。 ,换位Medianpolish或中位数medianpolish,然后可以使用计算probeset总结表达式的值。
The results can be accessed via "getExprSummary()" and the associated standard deviation is accessed via "getSDSummary()". z, if specified, can take two values : Probe.Set and Cluster.Set (the last one has been created for the definition of cluster sets in the last generation of arrays, whole-gene).
可通过"getExprSummary()"和相关的标准偏差是通过"getSDSummary()"访问的结果。 Z,如果指定的话,可以取两个值:Probe.Set Cluster.Set(最后一个已在上一代的阵列,整个基因簇集的定义创建)。
If y=NULL, the results for all probe sets are shown.
如果Y = NULL,结果显示所有探针集。
值----------Value----------
A "matrix"
一个"matrix"
An object of the class ILM when subsetting "["
一个对象的类当子集ILM"["
作者(S)----------Author(s)----------
Myriam Kroll, Fabrice Berger and Enrico Carlon
参见----------See Also----------
ILM
ILM
举例----------Examples----------
## Locate and read in CEL-file[#找到并读取CEL - 文件]
path <- system.file("rawData", "FusionSDK_HG-Focus", "HG-Focus", "2.Calvin",
package="AffymetrixDataTestFiles")
file1 <- file.path(path,"HG-Focus-1-121502.CEL")
## Calculation of background estimates and expression values (concentrations)[#背景估计和表达值(浓度计算)]
result <- ilm(file1)
## Background intensities of all probes[所有探针的背景强度]
getIntens(result)
## Background intensities for one or more probesets[一个或多个probesets#背景强度]
getIntens(result,"203561_at")
getIntens(result,c("203561_at","40359_at"))
## Get concentrations of all probesets[#获取所有probesets的浓度。]
getProbeConcs(result)
## Get concentrations (in picoMolar)[#获取浓度(在皮摩尔)]
getProbeConcs(result,"203561_at")
getProbeConcs(result,c("203561_at","40359_at"))
## Subsetting[#子集]
result["203561_at"]
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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