DataForPREDA-class: Class "DataForPREDA" is used to manage all of the data...

Description Objects from the Class Slots Extends Methods Note Author(s) See Also Examples

Description

This class is used to manage all of the data required as input for PREDA analysis: it is usually created by merging a GenomicAnnotationsForPREDA and a StatisticsForPREDA classes

Objects from the Class

Objects can be created by calls of the form new("DataForPREDA", ids, chr, start, end, strand, chromosomesNumbers, chromosomesLabels, position, optionalAnnotations, optionalAnnotationsHeaders, statistic, analysesNames, testedTail).

Slots

position:

Object of class "integer" ~~

ids:

Object of class "character" a character vector of unique identifiers for the genomic features under investigation

chr:

Object of class "integer" a numeric vector representing the chromosome where each ids is mapped. Please note that chromosome usually not represented with a number must will be comverted to a number as well. e.g. for Human, chromsomomees X and Y will be converted to chromsomes 23 and 24 respectively. User defined options will allow this conversion during GenomicAnnotations objects initialization.

start:

Object of class "integer" a numeric vector of start genomic position for each genomic feature under investigation (i.e. gene, transcript, SNP or other elements).

end:

Object of class "integer" a numeric vector of end genomic position for each genomic feature under investigation (i.e. gene, transcript, SNP or other elements).

strand:

Object of class "numeric" a numeric vector of strand genomic position for each genomic feature under investigation: value 1 is used for "plus" (forward) strand and value -1 for "minus" (reverse) strand. User defined options will allow the conversion to this format during GenomicAnnotations objects initialization.

chromosomesNumbers:

Object of class "numeric" a numeric vector containing the list of chromosomes for which genomic annotations are provided in the GenomicAnnotations object. Each chromosome is represented just once in increasing order. Please note that chromosome usually not represented with a number must will be comverted to a number as well. e.g. for Human, chromsomomees X and Y will be converted to chromsomes 23 and 24 respectively.

chromosomesLabels:

Object of class "character" a character vector containing the list of chromosomes for which genomic annotations are provided in the GenomicAnnotations object. Each chromosome is represented just once in the same order as reported in chromosomesNumbers slot. This slot is actually used just to provide a label for each associated chromosome number, in case that some non numeric chromsome is used (e.g. to preserve the correspondence between chr 23 and the actual chr X in Human)

optionalAnnotations:

Object of class "matrix" optional annotations associated to the genomic features can be managed along with genomic positions annotations. E.g. GeneSymbol or EntrezGene ids can be associated to gene realted GenomicAnnotaitons objects. These additional annotations are not mandatory (the default value for this slot is NULL) The additional annotations must be provided as a matrix of character, with a number of rows equal to the length of "ids" slot and a number of columns equal to the length of "optionalAnnotationsHeaders" slot.

optionalAnnotationsHeaders:

Object of class "character" character vector containing the names associated to optional annotations. Please avoid using spaces in annotations names.

statistic:

Object of class "matrix" a numeric matrix containing gene-centered statistics (or statistics on genomic data centered on other genomic features under investigation). The statistics must be provided as a matrix of numeric values, with a number of rows equal to the length of "ids" slot and a number of columns equal to the length of "analysesNames" slot.

analysesNames:

Object of class "character" a character vector of unique names associated to each column of statistic matrix. This is just a name that will be used to identify each analysis.

testedTail:

Object of class "character" a character describing what tail of the statistic distribution will be analyzed during PREDA analysis. Possible values are "upper", "lower" or "both". Anyway we strongly recommend using PREDA analysis only for statistics on genomic data with a symmetric distribution around zero.

Extends

Class "GenomicAnnotationsForPREDA", directly. Class "StatisticsForPREDA", directly. Class "GenomicAnnotations", by class "GenomicAnnotationsForPREDA", distance 2.

Methods

DataForPREDA2dataframe

signature(.Object = "DataForPREDA"): extract data and annotations as a dataframe with probeids as rownames

DataForPREDA2GenomicAnnotationsForPREDA

signature(.Object = "DataForPREDA"): extract a GenomicAnnotationsForPREDA object from a data DataForPREDA object

DataForPREDA2StatisticsForPREDA

signature(.Object = "DataForPREDA"): extract a StatisticsForPREDA object from a data DataForPREDA object

GenomicAnnotationsFilter_neg

signature(.Object = "DataForPREDA"): filter annotations to remove selected chromosomes

GenomicAnnotationsFilter_pos

signature(.Object = "DataForPREDA"): filter annotations to keep selected chromosomes

GenomicAnnotationsSortAndCleanNA

signature(.Object = "DataForPREDA"): sort annotations according to selected chromosomes and to remove genes containing any NA annotation field

initialize

signature(.Object = "DataForPREDA"): initialize method for DataForPREDA objects

StatisticsForPREDAFilterColumns_neg

signature(.Object = "DataForPREDA"): filter statistics to remove selected analyses

StatisticsForPREDAFilterColumns_pos

signature(.Object = "DataForPREDA"): filter statistics to keep selected analyses

Note

This class is better described in the package vignette

Author(s)

Francesco Ferrari

See Also

"GenomicAnnotations", "GenomicAnnotationsForPREDA", "StatisticsForPREDA", DataForPREDA2dataframe,DataForPREDA2GenomicAnnotationsForPREDA,DataForPREDA2StatisticsForPREDA, GenomicAnnotationsFilter_neg,GenomicAnnotationsFilter_pos,GenomicAnnotationsSortAndCleanNA, StatisticsForPREDAFilterColumns_neg,StatisticsForPREDAFilterColumns_pos

Examples

1
showClass("DataForPREDA")

PREDA documentation built on May 6, 2019, 2:07 a.m.