Package: SerolyzeR 1.0.0

Tymoteusz Kwiecinski

SerolyzeR: Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data

Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalises the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project 'PvSTATEM', which is an international project aiming for malaria elimination.

Authors:Tymoteusz Kwiecinski [aut, cre], Jakub Grzywaczewski [aut], Mateusz Nizwantowski [aut], Przemyslaw Biecek [ths], Nuno Sepulveda [ths]

SerolyzeR_1.0.0.tar.gz
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SerolyzeR_1.0.0.tgz(r-4.5-any)SerolyzeR_1.0.0.tgz(r-4.4-any)SerolyzeR_1.0.0.tgz(r-4.3-any)
SerolyzeR_1.0.0.tar.gz(r-4.5-noble)SerolyzeR_1.0.0.tar.gz(r-4.4-noble)
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SerolyzeR.pdf |SerolyzeR.html✨
SerolyzeR/json (API)

# Install 'SerolyzeR' in R:
install.packages('SerolyzeR', repos = c('https://mini-pw.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mini-pw/serolyzer/issues

Pkgdown site:https://mini-pw.github.io

On CRAN:

Conda:

6.68 score 4 stars 21 exports 60 dependencies

Last updated 16 days agofrom:5fafbbc546. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 08 2025
R-4.5-winOKMar 08 2025
R-4.5-macOKMar 08 2025
R-4.5-linuxOKMar 08 2025
R-4.4-winOKMar 08 2025
R-4.4-macOKMar 08 2025
R-4.4-linuxOKMar 08 2025
R-4.3-winOKMar 08 2025
R-4.3-macOKMar 08 2025

Exports:create_standard_curve_model_analytegenerate_levey_jennings_reportgenerate_plate_reportget_nmfiis_valid_data_typeis_valid_sample_typePlateBuilderplot_countsplot_layoutplot_levey_jenningsplot_mfi_for_analyteplot_standard_curve_analyteplot_standard_curve_analyte_with_modelplot_standard_curve_stackedprocess_dirprocess_fileprocess_plateread_layout_dataread_luminex_dataread_xponent_formattranslate_sample_names_to_sample_types

Dependencies:bitbit64cellrangerclicliprcolorspacecpp11crayondplyrfansifarverfsgenericsggplot2ggrepelgluegtablehmsisobandjsonlitelabelinglatticelifecyclelubridatemagrittrMASSMatrixmgcvmunsellnlmenplrpillarpkgconfigpngprettyunitsprogressR.methodsS3R.ooR.utilsR6RColorBrewerRcppreadrreadxlrematchrlangscalesstringistringrsvglitesystemfontstibbletidyselecttimechangetzdbutf8vctrsviridisLitevroomwithr

Introduction to plots created by our package

Mateusz Nizwantowski

Rendered fromour_plots.Rmdusingknitr::rmarkdownon Mar 08 2025.

Last update: 2025-02-27
Started: 2024-08-27

Our datasets

Tymoteusz Kwieciński

Rendered fromour_datasets.Rmdusingknitr::rmarkdownon Mar 08 2025.

Last update: 2025-02-27
Started: 2024-07-17

Overview of reports generated by SerolyzeR package

Mateusz Nizwantowski

Rendered fromour_reports.Rmdusingknitr::rmarkdownon Mar 08 2025.

Last update: 2025-02-27
Started: 2025-01-03

Raw data parsers

Jakub Grzywaczewski

Rendered fromparsers.Rmdusingknitr::rmarkdownon Mar 08 2025.

Last update: 2025-02-27
Started: 2025-01-03

Basic SerolyzeR functionalities

Tymoteusz Kwieciński

Rendered fromexample_script.Rmdusingknitr::rmarkdownon Mar 08 2025.

Last update: 2025-02-27
Started: 2024-07-08