gess_fisher: Fisher Search Method
In signatureSearch: Environment for Gene Expression Searching Combined with Functional Enrichment Analysis

Description Usage Arguments Details Value Column description References See Also Examples

In its iterative form, Fisher's exact test (Upton, 1992) can be used as Gene Expression Signature (GES) Search to scan GES databases for entries that are similar to a query GES.

gess_fisher(
  qSig,
  higher = NULL,
  lower = NULL,
  padj = NULL,
  chunk_size = 5000,
  ref_trts = NULL,
  workers = 1
)

`qSig`	`qSig` object defining the query signature including the GESS method (should be 'Fisher') and the path to the reference database. For details see help of `qSig` and `qSig-class`.
`higher`	The 'upper' threshold. If not 'NULL', genes with a score larger than or equal to 'higher' will be included in the gene set with sign +1. At least one of 'lower' and 'higher' must be specified. `higher` argument need to be set as `1` if the `refdb` in `qSig` is path to the HDF5 file that were converted from the gmt file.
`lower`	The lower threshold. If not 'NULL', genes with a score smaller than or equal 'lower' will be included in the gene set with sign -1. At least one of 'lower' and 'higher' must be specified. `lower` argument need to be set as `NULL` if the `refdb` in `qSig` is path to the HDF5 file that were converted from the gmt file.
`padj`	numeric(1), cutoff of adjusted p-value or false discovery rate (FDR) of defining DEGs that is less than or equal to 'padj'. The 'padj' argument is valid only if the reference HDF5 file contains the p-value matrix stored in the dataset named as 'padj'.
`chunk_size`	number of database entries to process per iteration to limit memory usage of search.
`ref_trts`	character vector. If users want to search against a subset of the reference database, they could set ref_trts as a character vector representing column names (treatments) of the subsetted refdb.
`workers`	integer(1) number of workers for searching the reference database parallelly, default is 1.

When using the Fisher's exact test (Upton, 1992) as GES Search (GESS) method, both the query and the database are composed of gene label sets, such as DEG sets.

gessResult object, the result table contains the search results for each perturbagen in the reference database ranked by their signature similarity to the query.

Descriptions of the columns specific to the Fisher method are given below. Note, the additional columns, those that are common among the GESS methods, are described in the help file of the gessResult object.

pval: p-value of the Fisher's exact test.
padj: p-value adjusted for multiple hypothesis testing using R's p.adjust function with the Benjamini & Hochberg (BH) method.
effect: z-score based on the standard normal distribution.
LOR: Log Odds Ratio.
nSet: number of genes in the GES in the reference database (gene sets) after setting the higher and lower cutoff.
nFound: number of genes in the GESs of the reference database (gene sets) that are also present in the query GES.
signed: whether gene sets in the reference database have signs, representing up and down regulated genes when computing scores.

Graham J. G. Upton. 1992. Fisher's Exact Test. J. R. Stat. Soc. Ser. A Stat. Soc. 155 (3). [Wiley, Royal Statistical Society]: 395-402. URL: http://www.jstor.org/stable/2982890

qSig, gessResult, gess

db_path <- system.file("extdata", "sample_db.h5", 
                       package = "signatureSearch")
# library(SummarizedExperiment); library(HDF5Array)
# sample_db <- SummarizedExperiment(HDF5Array(db_path, name="assay"))
# rownames(sample_db) <- HDF5Array(db_path, name="rownames")
# colnames(sample_db) <- HDF5Array(db_path, name="colnames")
## get "vorinostat__SKB__trt_cp" signature drawn from sample databass
# query_mat <- as.matrix(assay(sample_db[,"vorinostat__SKB__trt_cp"]))
# qsig_fisher <- qSig(query=query_mat, gess_method="Fisher", refdb=db_path)
# fisher <- gess_fisher(qSig=qsig_fisher, higher=1, lower=-1)
# result(fisher)