pa.calls(panp)
pa.calls()所属R语言包:panp
Presence-Absence Calls from Negative Strand Matching Probesets
从负链匹配Probesets缺席呼吁
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Function to make gene presence/absence calls based on distance from empirical distribution of chip-specific negative strand matching probesets (NSMP).
基因存在/不存在的通话功能,使基于经验分布芯片特定的负链的匹配probesets(NSMP)距离。
用法----------Usage----------
pa.calls(object, looseCutoff = 0.02, tightCutoff = 0.01, verbose = FALSE)
参数----------Arguments----------
参数:object
an ExpressionSet object (result of running expression-generating function, like expresso(), rma(), mas5(), etc.) Currently, this must be of chip type HGU133A or HGU133 Plus 2.0
RMA(),mas5()等)ExpressionSet对象(如expresso运行的表达产生的功能,(结果),目前,这必须是芯片类型HGU133A或HGU133的加2.0
参数:looseCutoff
the larger P-value cutoff (see details)
P值较大的截止(见详情)
参数:tightCutoff
the smaller, more strict P-value cutoff
更小,更严格的P值的截止
参数:verbose
logical. If 'TRUE' detailed progress messages are reported.
逻辑。如果“TRUE”详细的进度消息。
Details
详情----------Details----------
The function calculates a matrix of P-values for the expression values in the input ExpressionSet. P-values are calculated based on the empirical survivor function (1-CDF) of the set of negative probesets identified by Affymetrix as negative strand matching probesets (NSMP) with no cross hybridization. These probesets are therefore assumed to show nothing but background/machine noise plus some occasional non-specific binding. The P-value returned for any probeset expression value in ExpressionSet is the value of the NSMP survivor function for that expression level.
该函数计算P值的表达式的值在输入ExpressionSet的矩阵。 P值的计算是基于一套由Affymetrix负链的匹配probesets(NSMP)的确定为阴性,无交叉杂交probesets经验的幸存者功能(1民防)。因此假定这些probesets都表明什么,但背景/机器的噪音加上偶尔有一些非特异性结合。任何在ExpressionSet probeset表达式的值返回P值是,表达水平NSMP幸存者功能的价值。
Presence/Absence calls are derived by applying the two cutoff values to the matrix of P-values for all genes in the ExpressionSet, as follows:
存在/不存在调用派生申请两个临界值矩阵在所有ExpressionSet基因P值,如下:
Present ('P') P-values <= tightCutoff
(“P”),P值<= tightCutoff,
Absent ('A') P-values > looseCutoff
缺席(“A”)的P-值> looseCutoff
Marginal ('M') P-values between tightCutoff and looseCutoff
边际(“M”)P值之间tightCutoff和looseCutoff
值----------Value----------
参数:list
a new list containing two matrices: Pcalls and Pvals, as follows:
一个新的列表,其中包含两个矩阵的:Pcalls和Pvals,如下:
参数:Pcalls
a matrix of Presence (P), Marginal (M), Absent (A) indicators
一个存在矩阵(P)边际(M)缺席(a)指标
参数:Pvals
a matrix of P-values. Each data point is the P-value for the expr at the same x, y coordinates.
P值的矩阵。每个数据点是在相同的x,y坐标的expr的P值。
注意----------Note----------
NSMP sets have been established for the HGU133A and HGU133-Plus-2.0 chipsets to date. Hence only these two are currently supported by PANP.
为HGU133A和HGU133加2.0芯片组迄今已建立NSMP套。因此,只有这两个目前支持PANP。
作者(S)----------Author(s)----------
Peter Warren
参考文献----------References----------
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。
注2:由于是机器人自动翻译,难免有不准确之处,使用时仔细对照中、英文内容进行反复理解,可以帮助R语言的学习。
注3:如遇到不准确之处,请在本贴的后面进行回帖,我们会逐渐进行修订。
|