| neuroimaGene {neuroimaGene} | R Documentation | 
Main neuroimaGene query
Description
Using a user supplied vector of genes (Ensembl ID's or HUGO names), this function queries the NeuroimaGene resource for all statistically significant GReX-NIDP associations and returns all findings as a data.table.
Usage
neuroimaGene(
  gene_list,
  modality = "T1",
  atlas = "Desikan",
  mtc = "BH",
  nidps = NA,
  filename = NA,
  verbose = FALSE,
  vignette = FALSE
)
Arguments
| gene_list | List of genes to work as inputs. There are no defaults. | 
| modality | Neuroimaging modality for NIDP query. Defaults to T1 structural NIDPs. | 
| atlas | Neuroimaging parcellation atlas for NIDP query. Defaults to Desikan structural atlas. | 
| mtc | Statistical multiple testing correction for NIDP query. Defaults to BH for the Benjamini Hochberg False Discovery Rate. | 
| nidps | optional user defined vector of target NIDPs to query. These can be obtained from the listNIDPnames() function. | 
| filename | optional user defined filename for writing neuroimaGene output to a file. | 
| verbose | print runtime messages to R console. Default to FALSE | 
| vignette | use for building vignette on installation. Default to FALSE | 
Value
a neuroimaGene object: data table with all significant associations between the user provided genes and the UKB NIDPs satisfying the multiple testing correction and atlas/modality/name filters.
Examples
gene_list <- c('TRIM35', 'PROSER3', 'EXOSC6', 'PICK1', 'UPK1A', 'ESPNL', 'ZIC4')
ng <- neuroimaGene(gene_list, atlas = NA, mtc = 'BH', vignette = TRUE)