Package: MiPP 1.79.0
Sukwoo Kim
MiPP: Misclassification Penalized Posterior Classification
This package finds optimal sets of genes that seperate samples into two or more classes.
Authors:
MiPP_1.79.0.tar.gz
MiPP_1.79.0.zip(r-4.5)MiPP_1.79.0.zip(r-4.4)MiPP_1.79.0.zip(r-4.3)
MiPP_1.79.0.tgz(r-4.4-any)MiPP_1.79.0.tgz(r-4.3-any)
MiPP_1.79.0.tar.gz(r-4.5-noble)MiPP_1.79.0.tar.gz(r-4.4-noble)
MiPP_1.79.0.tgz(r-4.4-emscripten)MiPP_1.79.0.tgz(r-4.3-emscripten)
MiPP.pdf |MiPP.html✨
MiPP/json (API)
| # Install 'MiPP' in R: |
| install.packages('MiPP', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:MiPP-1.79.0(bioc 3.21)MiPP-1.78.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 23 days agofrom:6b6159273f. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win | NOTE | Nov 20 2024 |
| R-4.5-linux | NOTE | Nov 20 2024 |
| R-4.4-win | NOTE | Nov 20 2024 |
| R-4.4-mac | NOTE | Nov 20 2024 |
| R-4.3-win | NOTE | Nov 20 2024 |
| R-4.3-mac | NOTE | Nov 20 2024 |
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 |