Package: GMSimpute 0.0.1.0
GMSimpute: Generalized Mass Spectrum Missing Peaks Abundance Imputation
GMSimpute implements the Two-Step Lasso (TS-Lasso) and compound minimum to recover the abundance of missing peaks in mass spectrum analysis. TS-Lasso is a label-free imputation method that handles various types of missing peaks simultaneously. This package provides the procedure to generate missing peaks (or data) for simulation study, as well as a tool to estimate and visualize the proportion of missing at random.
Authors:
GMSimpute_0.0.1.0.tar.gz
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GMSimpute.pdf |GMSimpute.html✨
GMSimpute/json (API)
| # Install 'GMSimpute' in R: |
| install.packages('GMSimpute', repos = c('https://qianli10000.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/qianli10000/gmsimpute/issues
- replicates - Raw mass spectrum proteomics log abundance for 4 pairs of technical replicates.
- tcga.bc - Raw mass spectrum metabolomics data for TCGA breast cancer study.
- tcga.bc.full - A subset of mass spectrum metabolomics data for TCGA breast cancer study without missing peaks.
Last updated 6 years agofrom:c0f55aa72c. Checks:OK: 1 ERROR: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-win | ERROR | Oct 27 2024 |
| R-4.5-linux | ERROR | Oct 27 2024 |
| R-4.4-win | ERROR | Oct 27 2024 |
| R-4.4-mac | ERROR | Oct 27 2024 |
| R-4.3-win | ERROR | Oct 27 2024 |
| R-4.3-mac | ERROR | Oct 27 2024 |
Exports:GMS.LassoMAR.estmissing.simTS.Lasso
Dependencies:clicodetoolscolorspacefansifarverforeachggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppRcppEigenreshape2rlangscalesshapestringistringrsurvivaltibbleutf8vctrsviridisLitewithr
