Meta_feature_list_fun: Meta_feature_list_fun

View source: R/Canidate_processing.R

Meta_feature_list_funR Documentation

Meta_feature_list_fun

Description

This is a function that prepare the candiate list for maldi imaging data qualitative or quantitative analysis. this function will read the candidate list file and generate mz for the adducts list defined in "adducts".

Usage

Meta_feature_list_fun(
  database,
  workdir = getwd(),
  adducts = c("M-H", "M+Cl"),
  cal.mz = TRUE,
  bypass = FALSE,
  BPPARAM = bpparam()
)

Arguments

database

the file name of candidate list

workdir

the folder that contains candidate list

adducts

the adducts list to be used for generating the PMF search candidates

cal.mz

If set with "TRUE", the function will recalculate the mz value according to the column named "formula" in the database and the specified adducts.

BPPARAM

parallel processing parameter for BiocParallel

mzlist_bypass

Set "TRUE" if you want to bypass the mzlist generating process, the function will keep the mz and adduct as it is for the furture analysis. Be sure that the table contains "mz", "adduct" and "moleculeNames" as they are essential for later steps.

Value

a table of candiate list

Examples

Meta_feature_list_fun(database="lipid candidates.csv",adducts=c("M-H","M+Cl"))


guoguodigit/Metwork documentation built on Nov. 30, 2024, 10:04 p.m.