HighExpressionLevel-class(DFP)
HighExpressionLevel-class()所属R语言包:DFP
Class "HighExpressionLevel"
类“HighExpressionLevel”
译者:生物统计家园网 机器人LoveR
描述----------Description----------
A class which represents a Membership Function to determine the membership of a numeric value to the "High" discrete label. The result depends on the "center" and "width" values.
A类,它代表了隶属函数的确定数值离散标签高的成员。其结果将取决于“中心”和“宽度”值。
类的对象----------Objects from the Class----------
Objects can be created by calls of the form new("HighExpressionLevel").
创建对象可以通过检测的形式new("HighExpressionLevel")。
插槽----------Slots----------
center: Object of class "numeric". Represents the peak point in the function curve.
center类"numeric"的对象。代表在函数曲线的峰值点。
width: Object of class "numeric". Represents the length of values lower than 1 and greater than 0 in the function curve.
width类"numeric"的对象。代表值小于1和大于0函数曲线的长度。
延伸----------Extends----------
Class "ExpressionLevel", directly.
类"ExpressionLevel",直接。
方法----------Methods----------
setValues signature(object = "HighExpressionLevel", values = "numeric"): Establishes the "center" and "width" slots of the object, given a vector of numeric values.
的setValuessignature(object = "HighExpressionLevel", values = "numeric"):建立的中心和宽的对象插槽,给定一个数值向量。
computeMembership signature(object = "HighExpressionLevel", x = "numeric"): Returns a value in the [0,1] interval, which represents the membership to the "High" discrete label.
computeMembershipsignature(object = "HighExpressionLevel", x = "numeric"):返回一个值在[0,1]区间,代表成员向“高”离散标签。
作者(S)----------Author(s)----------
Rodrigo Alvarez-Gonzalez<br>
Daniel Glez-Pena<br>
Fernando Diaz<br>
Florentino Fdez-Riverola<br>
Maintainer: Rodrigo Alvarez-Gonzalez <<a href="mailto:rodrigo.djv@uvigo.es">rodrigo.djv@uvigo.es</a>>
参考文献----------References----------
Patterns for Gene Selection and Data Reduction on Microarray Data. 7th International Conference on Intelligent Data Engineering and Automated Learning: IDEAL 2006, (2006) pp. 1095-1102
举例----------Examples----------
showClass("HighExpressionLevel")
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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