Package: repli 0.99.0
repli: Replicate-based Imputation for Randomly Missing Data in Quantitative Proteomics
Implements replicate-based imputation for missing at random (MAR) values in proteomics data. The method leverages existing measurements from other replicates to determine imputation parameters (mean of observed values and global standard deviation).
Authors:
repli_0.99.0.tar.gz
repli_0.99.0.zip(r-4.7-any)repli_0.99.0.zip(r-4.6-any)repli_0.99.0.zip(r-4.5-any)
repli_0.99.0.tgz(r-4.6-any)repli_0.99.0.tgz(r-4.5-any)
repli_0.99.0.tar.gz(r-4.7-any)repli_0.99.0.tar.gz(r-4.6-any)
repli_0.99.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
repli/json (API)
| # Install 'repli' in R: |
| install.packages('repli', repos = c('https://biocstaging.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/biocstaging/repli/issues
- example_dataset - Example Proteomics Dataset
- example_se - Example Proteomics SummarizedExperiment
proteomicsmassspectrometrysoftware
Last updated from:65bb55f532. Checks:1 NOTE, 9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 175 | ||
| linux-devel | OK | 219 | ||
| source / vignettes | OK | 277 | ||
| linux-release | OK | 174 | ||
| macos-release | OK | 134 | ||
| macos-oldrel | OK | 149 | ||
| windows-devel | OK | 2190 | ||
| windows-release | OK | 2080 | ||
| windows-oldrel | OK | 2098 | ||
| wasm-release | OK | 143 |
Exports:%>%impute_replicateimpute_replicate_mixed_seimpute_replicate_seprepare_imputation_dataprepare_imputation_data_sereconstruct_se
Dependencies:abindBiobaseBiocGenericsclicpp11DelayedArraydplyrgenericsGenomicRangesglueIRangeslatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatspillarpkgconfigpurrrR6rlangS4ArraysS4VectorsSeqinfoSparseArraystringistringrSummarizedExperimenttibbletidyrtidyselectutf8vctrswithrXVector
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Example Proteomics Dataset | example_dataset |
| Example Proteomics SummarizedExperiment | example_se |
| Perform replicate-based imputation | impute_replicate |
| Perform mixed MAR/MNAR imputation on a SummarizedExperiment object | impute_replicate_mixed_se |
| Perform replicate-based imputation on a SummarizedExperiment object | impute_replicate_se |
| Prepare data for replicate-based imputation | prepare_imputation_data |
| Prepare a SummarizedExperiment for replicate-based imputation | prepare_imputation_data_se |
| Reconstruct a SummarizedExperiment after replicate-based imputation | reconstruct_se |
