Model.GetConfDat: Elimination of badly predicted probes

In ITALICS: ITALICS

Description

This function eliminate badly predicted probes using a regression table and an estimated model given by the function getModel or getBestBICModelLight. Then it computes the corrected intensity.

Usage

getConfDat(confidence, quartetInfo, model)

Arguments

confidence	The confidence interval : 0.95
quartetInfo	A Regression table containing the variables in the model
model	The class lm object given by the function getModel

Value

A data frame with the corrected intensity. Only goodly predicted probes are taken into account. SNP's with more than 8 badly predicted probes get a NA.

Note

People interested in tools dealing with array CGH analysis and DNA copy number analysis can visit our web-page http://bioinfo.curie.fr.

Author(s)

Guillem Rigaill, [e-mail].

Source

Institut Curie, [e-mail].

ITALICS documentation built on Nov. 8, 2020, 6:48 p.m.