buildFeatureVector {cleanUpdTSeq} | R Documentation

## build Feature Vector_2

### Description

This function creates a data frame. Fields include peak name, upstream sequence, downstream sequence, and features to be used in classifying the putative polyadenylation site.

### Usage

    buildFeatureVector(
      peaks,
      genome = Drerio,
      upstream = 40L,
      downstream = 30L,
      wordSize = 6L,
      alphabet = "ACGT",
      sampleType = c("TP", "TN", "unknown"),
      replaceNAdistance = 30L,
      method = c("NaiveBayes", "SVM"),
      fetchSeq = FALSE,
      return_sequences = FALSE
    )

### Arguments

`peaks` | An object of GRanges that may contain the upstream and downstream sequence information. This item is created by the function BED6WithSeq2GRangesSeq.
`genome` | Name of the genome to get sequences from. To find out a list of available genomes, please type BSgenome::available.genomes() in R.
`upstream` | An integer(1) vector, length of upstream sequence to retrieve.
`downstream` | An integer(1) vector, length of downstream sequence to retrieve.
`wordSize` | An integer(1) vector, size of the kmer feature for the upstream sequence. wordSize = 6 should always be used.
`alphabet` | A character(1) vector, a string containing DNA bases. By default, "ACTG".
`sampleType` | A character(1) vector, indicating type of sequences for building feature vectors. Options are TP (true positive) and TN (true negative) for training data, or unknown for test data.
`replaceNAdistance` | An integer(1) vector, specifying an number for avg.distanceA2PeakEnd, the average distance of As to the putative pA site, when there is no A in the downstream sequence.
`method` | A character(1) vector, specifying a machine learning method to to use. Currently, only "NaiveBayes" is implemented.
`fetchSeq` | A logical (1), indicating whether upstream and downstream sequences should be retrieved from the BSgenome object at this step or not.
`return_sequences` | A logical(1) vector, indicating whether upstream and downstream sequences should be included in the output

### Value

An object of "`featureVector`"

### Author(s)

Sarah Sheppard, Haibo Liu, Jianhong Ou, Nathan Lawson, Lihua J. Zhu

### Examples

    library(BSgenome.Drerio.UCSC.danRer7)
    testFile <- system.file("extdata", "test.bed",
                            package = "cleanUpdTSeq")
    peaks <- BED6WithSeq2GRangesSeq(file = testFile,
                                   skip = 1L, withSeq = TRUE)
    ## build the feature vector for the test set with sequence information
    testSet.NaiveBayes = buildFeatureVector(peaks,
                                            genome = Drerio,
                                            upstream = 40L,
                                            downstream = 30L,
                                            wordSize = 6L,
                                            alphabet = "ACGT",
                                            sampleType = "unknown",
                                            replaceNAdistance = 30,
                                            method = "NaiveBayes",
                                            fetchSeq = FALSE,
                                            return_sequences = TRUE)

    ## convert the test set to GRanges without upstream and downstream
    ## sequence information
    peaks <- BED6WithSeq2GRangesSeq(file = testFile,
                                   skip = 1L, withSeq = FALSE)
    #build the feature vector for the test set without sequence information
    testSet.NaiveBayes = buildFeatureVector(peaks,
                                            genome = Drerio,
                                            upstream = 40L,
                                            downstream = 30L,
                                            wordSize = 6L,
                                            alphabet = "ACGT",
                                            sampleType = "unknown",
                                            replaceNAdistance = 30,
                                            method = "NaiveBayes",
                                            fetchSeq = TRUE,
                                            return_sequences = TRUE)

[Package cleanUpdTSeq version 1.32.0 Index]