generate_multiassay.RdGenerate a MultiAssayExperiment object from single-omics data matrix and metadata. Currently supports transcriptomics and proteomics data only.
generate_multiassay(
  rawdata_rna,
  rawdata_protein,
  individual_to_sample = FALSE,
  map_rna,
  map_protein,
  metadata_rna,
  metadata_protein,
  individual_metadata,
  map_by_column,
  rna_qc_data = FALSE,
  rna_qc_data_matrix,
  organism = "human"
)A data-frame containing raw RNA count where rows and columns correspond to genes and samples respectively
A data-frame containing raw protein abundance where rows and columns correspond to genes and samples respectively
Logical whether individual ID and sample names in
raw data matrices are the same. If they are different, mpa_rna and
map_protein
dataframes should be provided. Default to FALSE.
A data-frame of two columns named primary and colname
where primary should contain unique ID name with a link to individual
metadata and colname is the column names of the rawdata_rna data-frame
A data-frame of two columns named primary and colname
where primary should contain unique ID name with a link to individual
metadata and colname is the column names of the rawdata_protein data-frame
A data-frame containing rna assay specific metadata
where rownames are same as the colnames of rawdata_rna data.frame
A data-frame containing protein assay specific
metadata where rownames are same as the colnames of rawdata_protein
data.frame
A data-frame containing sample level metadata
The common column name to link metadata_rna
and metadata_protein to the individual_metadata
Logical whether to add rna QC data.
A data.frame containing RNA qc level data where
rownames are same as the colnames of rawdata_rna data.frame.
The organism type for transcripts and proteins.
Possible values are human and mouse. Default to human.
a MultiAssayExperiment object
Other Pre-processing: 
batch_correction_protein(),
combat_correction(),
filter_protein(),
median_centering_correction(),
process_protein(),
process_rna()