Package: AWAggregatorData 1.2.0
AWAggregatorData: Attribute-Weighted Aggregation Data
The AWAggregatorData package contains the data associated with the AWAggregator R package. It includes two pre-trained random forest models, one incorporating the average coefficient of variation as a feature, and the other one not including it. It also contains the PSMs in Benchmark Set 1~3 derived from the psm.tsv output files generated by FragPipe, which are used to train the random forest models.
Authors:
AWAggregatorData_1.2.0.tar.gz
AWAggregatorData_1.2.0.tar.gz(r-4.7-any)AWAggregatorData_1.2.0.tar.gz(r-4.6-any)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
AWAggregatorData/json (API)
| # Install 'AWAggregatorData' in R: |
| install.packages('AWAggregatorData', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tan-jiahua/awaggregatordata/issues
On BioConductor:AWAggregatorData-1.3.0(data/experiment 3.24)AWAggregatorData-1.2.0(data/experiment 3.23)
experimentdatapackagetypedataexperimenthubmassspectrometrydataproteomedatapkg
Last updated from:02d2b04a2d (on RELEASE_3_23). Checks:1 NOTE, 3 OK. Indexed: no.
This is a data package. Data packages may be large and do not get checked across all platforms.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 198 | ||
| linux-devel | OK | 480 | ||
| source / vignettes | OK | 2230 | ||
| linux-release | OK | 802 |
Exports:loadQuantInaccuracyModel
Dependencies:AnnotationDbiAnnotationHubaskpassBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocManagerBiocVersionBiostringsbitbit64blobcachemclicpp11crayoncurlDBIdbplyrdplyrExperimentHubfastmapfilelockgenericsgluehttrhttr2IRangesjsonliteKEGGRESTlifecyclemagrittrmemoisemimeopensslpillarpkgconfigpngpurrrR6rappdirsrlangRSQLiteS4VectorsSeqinfostringistringrsystibbletidyrtidyselectutf8vctrswithrXVectoryaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Load a Pre-trained Random Forest Model | loadQuantInaccuracyModel |
