sim_score_grp {signatureSearch} | R Documentation

## Summary Scores by Groups of Cell Types

### Description

Function appends two columns (score_column_grp1, score_column_grp2) to GESS result tibble. The appended columns contain cell-summarized scores for groups of cell types, such as normal and tumor cells. The cell-summarized score is obtained the same way as the `NCSct` scores, that is using a maximum quantile statistic. It compares the 67 and 33 quantiles of scores and retains whichever is of higher absolute magnitude.

### Usage

    sim_score_grp(tib, grp1, grp2, score_column)

### Arguments

`tib` | tibble in gessResult object
`grp1` | character vector, group 1 of cell types, e.g., tumor cell types
`grp2` | character vector, group 2 of cell types, e.g., normal cell types
`score_column` | character, column name of similarity scores to be grouped

### Value

tibble

### Examples

    gr <- gessResult(result=dplyr::tibble(pert=c("p1", "p1", "p2", "p3"),
                                          cell=c("MCF7", "SKB", "MCF7", "SKB"),
                                          type=rep("trt_cp", 4),
                                          NCS=c(1.2, 1, 0.9, 0.6)),
                     query=list(up="a", down="b"),
                     gess_method="LINCS", refdb="path/to/refdb")
    df <- sim_score_grp(result(gr), grp1="SKB", grp2="MCF7", "NCS")

[Package signatureSearch version 1.4.6 Index]