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Package: omiprep
Title: Omics data preparation and processing pipeline
Version: 1.0.0
Authors@R: c(person("Laura", "Corbin", email = "laura.corbin@bristol.ac.uk", role = c("aut")),
person("David", "Hughes", email = "hughes.evoanth@gmail.com", role = c("aut", "cre")),
person("Nicholas", "Sunderland", email = "nicholas.sunderland@bristol.ac.uk", role = c("aut")),
person("Matthew", "Lee", email = "matthew.lee@bristol.ac.uk", role = c("aut")),
person("Alec", "McKinlay", email = "am17168@bristol.ac.uk", role = c("aut")))
Description: |
Reads in raw Metabolon, Nightingale Health, Olink, and SomaLogic xls sheets, or flat text files and aids in data preparation of all metabolomics & proteomics data sets. Formerly known as metaboprep.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports:
boot,
car,
cli,
ggplot2,
ggpubr,
nFactors,
pcaMethods,
irlba,
psych,
pwr,
readxl,
rmarkdown,
S7,
yaml,
OlinkAnalyze,
SomaDataIO,
reshape2,
openxlsx,
stringr,
shiny,
shinycssloaders,
bslib,
DT,
plotly
Suggests:
knitr,
dendextend,
kableExtra,
remotes,
testthat (>= 3.0.0),
withr
Remotes:
hredestig/pcaMethods
URL: https://mrcieu.github.io/omiprep/
Collate:
'class_omiprep.R'
'batch_normalise.R'
'continous_power_plot.R'
'cramer_v.R'
'export.R'
'feature_describe.R'
'feature_skewness.R'
'feature_summary.R'
'generate_report.R'
'imbalanced_power_plot.R'
'missingness.R'
'multivariate_anova.R'
'outlier_detection.R'
'pc_and_outliers.R'
'quality_control.R'
'read_metabolon.R'
'read_nightingale.R'
'read_olink.R'
'read_somalogic.R'
'run_metaboprep1.R'
'sample_summary.R'
'shiny_app.R'
'summarise.R'
'summary_omiprep.R'
'total_sum_abundance.R'
'tree_and_independent_features.R'
'utils.R'
'variable_by_factor.R'
'zzz.R'
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0.9000