DerivData-class(CNAnorm)
DerivData-class()所属R语言包:CNAnorm
Class "DerivData"
类“DerivData”
译者:生物统计家园网 机器人LoveR
描述----------Description----------
A Class containing data derived from InData used for further computation and plotting.
A类含有从InData的数据用于进一步的计算和绘图。
类的对象----------Objects from the Class----------
Objects can be created by calls of the form new("DerivData"), however DerivData is typically populated using methods. If a slot has not been populated yet, it has zero length, otherwise slots have the same length as InData.
可以创建对象调用的形式new("DerivData"),但是DerivData通常使用的方法填充。如果一个槽尚未填充,它的长度为零,否则插槽有InData的长度相同。
插槽----------Slots----------
ratio: Numeric vector with ratio Test/Normal. Optionally GC corrected.
ratio:比数字矢量测试/正常。可选的GC纠正。
ratio.s: Numeric vector with smoothed ratio.
ratio.s:平滑的比例数字向量。
ratio.n: Numeric vector with normalized ratio.
ratio.n:标准化比值的数字向量。
ratio.s.n: Numeric vector with normalized and smoothed ratio.
ratio.s.n:规范化和平滑的比例数字向量。
segID: Numeric vecotr with ID of segmented data (as provided by DNACopy).
segID:分段数据的ID的数字vecotr(如由DNACopy提供)。
segMean: Numeric vector with mean value of the segment (as provided by DNACopy.)
segMean:(。作为提供DNACopy)段的平均值的数字矢量
segMean.n: Numeric vector with normalized segMean.
segMean.n:向量与归segMean数字。
ok4density: Logical vector. Specify wich values have been used to calculate density.
ok4density:逻辑向量。指定wich值已被用来计算密度。
方法----------Methods----------
length signature(x = "DerivData"): Returns number of windows.
长度signature(x = "DerivData"):返回窗口的个数。
作者(S)----------Author(s)----------
Stefano Berri and Arief Gusnanto
参考文献----------References----------
(2011) Correcting for cancer genome size and tumor cell content enables better estimation of copy number alterations from next generation sequence
参见----------See Also----------
CNAnorm, InData-class
CNAnorm,InData-class
举例----------Examples----------
data(LS041)
inObject <- new("InData", Chr = as.character(LS041$Chr),
Pos = LS041$Pos, Test = LS041$Test, Norm = LS041$Norm,
GC = LS041$GC)
CNA <- new("CNAnorm", InData = inObject)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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