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Last data update: 2014.03.03

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HTSBasicFilter (Package: HTSFilter) :

This function implements a variety of basic filters for transcriptome sequencing data.

● Data Source: BioConductor
● Keywords: methods
● Alias: HTSBasicFilter, HTSBasicFilter,CountDataSet-method, HTSBasicFilter,DESeqDataSet-method, HTSBasicFilter,DGEExact-method, HTSBasicFilter,DGEGLM-method, HTSBasicFilter,DGELRT-method, HTSBasicFilter,DGEList-method, HTSBasicFilter,data.frame-method, HTSBasicFilter,matrix-method, HTSBasicFilter-methods
● 0 images

HTSFilter-package (Package: HTSFilter) :

This package implements a filtering procedure for replicated transcriptome sequencing data based on a global Jaccard similarity index in order to identify genes with low, constant levels of expression across one or more experimental conditions.

● Data Source: BioConductor
● Keywords: package
● Alias: HTSFilter-package
● 0 images

HTSFilter (Package: HTSFilter) :

Calculate a data-based filtering threshold for replicated transcriptome sequencing data through the pairwise Jaccard similarity index between pairs of replicates within each experimental condition.

● Data Source: BioConductor
● Keywords: methods
● Alias: HTSFilter, HTSFilter,CountDataSet-method, HTSFilter,DESeqDataSet-method, HTSFilter,DGEExact-method, HTSFilter,DGEGLM-method, HTSFilter,DGELRT-method, HTSFilter,DGEList-method, HTSFilter,data.frame-method, HTSFilter,matrix-method, HTSFilter-methods
● 0 images

normalizeData (Package: HTSFilter) :

Normalize count-based measures of transcriptome sequencing data using the Trimmed Means of M-values (TMM) or DESeq approach.

● Data Source: BioConductor
● Keywords: methods
● Alias: normalizeData
● 0 images