huber

an R list of vector of normalized mean 
 (log intensities).

input

cutoff used in determining weights.

parameter determining which outliers are weighted: 
 "full" - both values above and below -threshold are downweighted;\
 "lower" - only values below threshold are downweighted; \
 "upper" - only values above threshold are downweighted.

shape

A weight functions used to downweigh outliers.

A robust identification of differential binding sites method for analyzing ChIP-seq (Chromatin Immunoprecipitation Sequencing)
comparing two samples that considers an ensemble of finite mixture models combined with a local false discovery rate (fdr)
allowing for flexible modeling of data. Methods for Differential Identification using Mixture Ensemble (DIME) is described in:
Taslim et al., (2011) <doi:10.1093/bioinformatics/btr165>.

huber: Huber's weight function

Description

Usage

Arguments

Value

References