Package: CAEN 1.13.0
Zhou Yan
CAEN: Category encoding method for selecting feature genes for the classification of single-cell RNA-seq
With the development of high-throughput techniques, more and more gene expression analysis tend to replace hybridization-based microarrays with the revolutionary technology.The novel method encodes the category again by employing the rank of samples for each gene in each class. We then consider the correlation coefficient of gene and class with rank of sample and new rank of category. The highest correlation coefficient genes are considered as the feature genes which are most effective to classify the samples.
Authors:
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CAEN/json (API)
NEWS
| # Install 'CAEN' in R: |
| install.packages('CAEN', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- realData - A real dataset of gene expression RNA-seq.
On BioConductor:CAEN-1.13.0(bioc 3.20)CAEN-1.12.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:b7293e6f36
Exports:CAENestimatepnewCountDataSetZIPLDAZIPLDA.cv
Dependencies:abindaskpassBiobaseBiocGenericscrayoncurlDelayedArrayGenomeInfoDbGenomeInfoDbDataGenomicRangeshttrIRangesjsonlitelatticeMatrixMatrixGenericsmatrixStatsmimeopensslPoiClaCluR6S4ArraysS4VectorsSparseArraySummarizedExperimentsysUCSC.utilsXVectorzlibbioc
