Deconvolve_transcriptome: Deconvolve_transcriptome

In RaikOtto/ArtDeco: Alikeness Based on Regression on Transciptome DECOnvolution

Description

Deconvolve_transcriptome measures the similarity of one or many query RNA-seq or microarray samples to samples with known differentiation stage contained in the training models.

Usage

Deconvolve_transcriptome(
    transcriptome_data,
    deconvolution_algorithm,
    models,
    nr_permutations,
    output_file
)

Arguments

transcriptome_data	A data frame that contains the gene expression data. Rows are expected to be HGNC symbols and columns are expected to contain the samples.
deconvolution_algorithm	Which deconvolution algorithm to choose from. Options: 'music','bseqsc' (CIBERSORT), 'nmf'.
models	List of models to be used. Use show_models_NMF(), show_models_music() or show_models_bseqsc() to view available models or add new model via add_deconvolution_training_model_*().
nr_permutations	Utilized to calculate p-value Higher amount of permutations generally lead to more precise p-value estimates. Default value 1000.
output_file	Path of output file. If not specified, no hard-disk written output will occur.

Value

Similarity measurements of differentiation stages.

Examples

data("visualization_data")
Deconvolve_transcriptome(
    transcriptome_data = visualization_data
)

RaikOtto/ArtDeco documentation built on Oct. 30, 2021, 6:20 p.m.