Package: MetaboQC 1.1
MetaboQC: Normalize Metabolomic Data using QC Signal
Takes QC signal for each day and normalize metabolomic data that has been acquired in a certain period of time. At least three QC per day are required.
Authors:
MetaboQC_1.1.tar.gz
MetaboQC_1.1.zip(r-4.5)MetaboQC_1.1.zip(r-4.4)MetaboQC_1.1.zip(r-4.3)
MetaboQC_1.1.tgz(r-4.4-any)MetaboQC_1.1.tgz(r-4.3-any)
MetaboQC_1.1.tar.gz(r-4.5-noble)MetaboQC_1.1.tar.gz(r-4.4-noble)
MetaboQC_1.1.tgz(r-4.4-emscripten)MetaboQC_1.1.tgz(r-4.3-emscripten)
MetaboQC.pdf |MetaboQC.html✨
MetaboQC/json (API)
# Install 'MetaboQC' in R: |
install.packages('MetaboQC', repos = c('https://monicacalsan.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:ea51eeb3b7. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win | OK | Nov 17 2024 |
R-4.5-linux | OK | Nov 17 2024 |
R-4.4-win | OK | Nov 17 2024 |
R-4.4-mac | OK | Nov 17 2024 |
R-4.3-win | OK | Nov 17 2024 |
R-4.3-mac | OK | Nov 17 2024 |
Exports:graphQCQCcorrectionLOESSQCcorrectionMultiLOESSQCcorrectionMultiPoly3QCcorrectionMultiPoly4QCcorrectionMultiPoly6QCcorrectionSinglePoly3QCcorrectionSinglePoly4QCcorrectionSinglePoly6QCregression4QCregression6
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Representate the compounds area (normalized or not) as a function of their injection order to study trends. | graphQC |
Generate values for metabolites normalization | QCcorrectionLOESS |
Generate values for metabolites normalization | QCcorrectionMultiLOESS |
Generate values for metabolites normalization | QCcorrectionMultiPoly3 |
Generate values for metabolites normalization | QCcorrectionMultiPoly4 |
Generate values for metabolites normalization | QCcorrectionMultiPoly6 |
Generate values for metabolites normalization | QCcorrectionSinglePoly3 |
Generate values for metabolites normalization | QCcorrectionSinglePoly4 |
Generate values for metabolites normalization | QCcorrectionSinglePoly6 |
Equation to be used internally to predict values from a regression curve of grade 3 | QCregression |
Equation to be used internally to predict values from a regression curve of grade 4 | QCregression4 |
Equation to be used internally to predict values from a regression curve of grade 6 | QCregression6 |