export: Export results to an SQLite database

Description Usage Arguments Author(s) See Also Examples

Description

Exports the results to an SQLite database which can then be browsed with a result browser. The function will export log likelihoods, z-scores, model figures and gene aliases.

Usage

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  export.scores(scores, datasetName='', experimentSet='',
    databaseFile='database.sqlite', preprocData=NULL, models=NULL,
    figpath=NULL, aliasTypes=c("SYMBOL", "GENENAME", "ENTREZID"),
    datasetSource='', datasetDescription='',
    datasetSaveLocation='', datasetFigureFilename='',
    experimentTimestamp=as.character(Sys.Date()),
    figureDesc='', figurePrio=0, regulator=NULL)

Arguments

scores

The scoreList to export.

datasetName

Name of the dataset in the database.

experimentSet

Name of the experiment set in the database.

databaseFile

Filename of the database. New database is created if the file does not exist.

preprocData

Preprocessed data. This is required in order to generate models and figures and to calculate z-scores. Also, inserting aliases requires preprocessed data.

models

Learned models. If not given, the function will generate models if preprocessed data is available.

figpath

Figure path. If this is defined, the function will generate figures to the given path instead of inserting them to the database.

aliasTypes

Types of aliases that are inserted to the database.

datasetSource

Additional information that is inserted to the database if defined.

datasetDescription

Additional information that is inserted to the database if defined.

datasetSaveLocation

Additional information that is inserted to the database if defined.

datasetFigureFilename

Additional information that is inserted to the database if defined.

experimentTimestamp

Timestamp that is inserted to the database. The default value is current date in ISO-8601 format.

figureDesc

Additional information that is inserted to the database if defined.

figurePrio

Additional information that is inserted to the database if defined.

regulator

If defined, override the regulator name from scoreList.

Author(s)

Miika-Petteri Matikainen, Antti Honkela

See Also

GPRankTargets, GPRankTFs.

Examples

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## Not run: 
  # Load a mmgmos preprocessed fragment of the Drosophila developmental
  # time series
  data(drosophila_gpsim_fragment)

  # FBgn names of target genes
  targets <- c('FBgn0003486', 'FBgn0033188', 'FBgn0035257')
  # Load gene annotations
  library(annotate)
  aliasMapping <- getAnnMap("ALIAS2PROBE",
                  annotation(drosophila_gpsim_fragment))

  # Get the probe identifier for TF 'twi'
  twi <- get('twi', env=aliasMapping)
  # Load alternative gene annotations
  fbgnMapping <- getAnnMap("FLYBASE2PROBE",
                 annotation(drosophila_gpsim_fragment))

  # Get the probe identifiers for target genes
  targetProbes <- mget(targets, env=fbgnMapping)

  # Rank the targets, filtering weakly expressed genes with average
  # expression z-score below 1.8
  scores <- GPRankTargets(drosophila_gpsim_fragment, TF=twi,
                          testTargets=targetProbes,
                          options=list(quiet=TRUE),
                          filterLimit=1.8)

  # Export data from scoreList and preprocessed data to a database
  export.scores(scores, datasetName='Drosophila',
                experimentSet='GPSIM/GPDISIM',
                database='database.sqlite',
                preprocData=drosophila_gpsim_fragment,
                aliasTypes=c('SYMBOL', 'GENENAME', 'FLYBASE', 'ENTREZID'))

## End(Not run)

ahonkela/tigre documentation built on Aug. 6, 2021, 12:08 p.m.