Introduction | Misclassification-Penalized Posteriors (MiPP) | Examples
Package: MiPP 1.85.0
Sukwoo Kim
MiPP: Misclassification Penalized Posterior Classification
This package finds optimal sets of genes that seperate samples into two or more classes.
Authors:
MiPP_1.85.0.tar.gz
MiPP_1.85.0.zip(r-4.7)MiPP_1.85.0.zip(r-4.6)MiPP_1.85.0.zip(r-4.5)
MiPP_1.85.0.tgz(r-4.6-any)MiPP_1.85.0.tgz(r-4.5-any)
MiPP_1.85.0.tar.gz(r-4.7-any)MiPP_1.85.0.tar.gz(r-4.6-any)
MiPP_1.85.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MiPP/json (API)
| # Install 'MiPP' in R: |
| install.packages('MiPP', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
On BioConductor:MiPP-1.85.0(bioc 3.24)MiPP-1.84.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:7d91633a53. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 123 | ||
| linux-devel-x86_64 | NOTE | 213 | ||
| source / vignettes | OK | 157 | ||
| linux-release-x86_64 | NOTE | 194 | ||
| macos-release-arm64 | NOTE | 90 | ||
| macos-oldrel-arm64 | NOTE | 84 | ||
| windows-devel | NOTE | 114 | ||
| windows-release | NOTE | 102 | ||
| windows-oldrel | NOTE | 104 | ||
| wasm-release | OK | 87 |
Exports:cv.mipp.ruleget.mippget.mipp.ldaget.mipp.logisticget.mipp.qdaget.mipp.svm.linearget.mipp.svm.rbflinearkernel.decision.functionmippmipp.preprocmipp.rulemipp.seqpre.selectquant.normalquant.normal2rbfkernel.decision.function
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Gene expression data for colon cancer | colon |
| Fitting cross-validaion MiPP | cv.mipp.rule |
| Choosing a rule | get.mipp |
| Fitting LDA to compute MiPP | get.mipp.lda |
| Fitting logistic model to compute MiPP | get.mipp.logistic |
| Fitting QDA to compute MiPP | get.mipp.qda |
| Fitting SVM (linear) to compute MiPP | get.mipp.svm.linear |
| Fitting SVM (RBF) to compute MiPP | get.mipp.svm.rbf |
| Gene expression data for leukemia | leuk1 |
| Gene expression data for leukemia | leuk2 |
| Gene expression data for leukemia | leukimia |
| SVM (linear) kernel to compute MiPP | linearkernel.decision.function |
| MiPP-based Classification | mipp |
| Preprocessing | mipp.preproc |
| Computing MiPP | mipp.rule |
| MiPP-based Classification | mipp.seq |
| Pre-selection | pre.select |
| Quantile normalization | quant.normal |
| Quantile normalization | quant.normal2 |
| SVM (RBF) kernel to compute MiPP | rbfkernel.decision.function |