calculate_tissue_vectors: Calculate a tissue score vector for each SNP within a genetic...
In Jmtorres138/TACTICAL: What the package does (One Line, Title Case)

Description Usage Arguments

View source: R/calculate_tissue_vectors.R

This function takes the SNP annotations outputted from the annotate_snps function and the provided annotation weigths to yield a set of tissue scores that indicate how much of the fine-mapping/association signal can be apportioned to each tissue/cell type

calculate_tissue_vectors(
  snp.annotated.df,
  tissue_annotation_file,
  genomic_annotation_file,
  ess.annot = NULL,
  ess.file = NULL
)

`snp.annotated.df`	Dataframe of annotated SNP info, this is output from annotate_snps function
`tissue_annotation_file`	Path to the input file of tissue annotation names and weights
`genomic_annotation_file`	Path to the input file of genomic annotation names and weights]
`ess.annot`	Optional: Name of genomic annotation requiring specificity scores (e.g. "coding")
`ess.file`	Optional: Path to the specificity score file for ess.annot, (e.g. expression specificity scores for coding annotations)