Package: scISR 0.1.1
Duc Tran
scISR: Single-Cell Imputation using Subspace Regression
Provides an imputation pipeline for single-cell RNA sequencing data. The 'scISR' method uses a hypothesis-testing technique to identify zero-valued entries that are most likely affected by dropout events and estimates the dropout values using a subspace regression model (Tran et.al. (2022) <doi:10.1038/s41598-022-06500-4>).
Authors:
scISR_0.1.1.tar.gz
scISR_0.1.1.zip(r-4.5)scISR_0.1.1.zip(r-4.4)scISR_0.1.1.zip(r-4.3)
scISR_0.1.1.tgz(r-4.4-any)scISR_0.1.1.tgz(r-4.3-any)
scISR_0.1.1.tar.gz(r-4.5-noble)scISR_0.1.1.tar.gz(r-4.4-noble)
scISR_0.1.1.tgz(r-4.4-emscripten)scISR_0.1.1.tgz(r-4.3-emscripten)
scISR.pdf |scISR.html✨
scISR/json (API)
# Install 'scISR' in R: |
install.packages('scISR', repos = c('https://duct317.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/duct317/scisr/issues
- Goolam - Goolam
Last updated 2 years agofrom:b25eac4ad6. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win | NOTE | Nov 17 2024 |
R-4.5-linux | NOTE | Nov 17 2024 |
R-4.4-win | NOTE | Nov 17 2024 |
R-4.4-mac | NOTE | Nov 17 2024 |
R-4.3-win | NOTE | Nov 17 2024 |
R-4.3-mac | NOTE | Nov 17 2024 |
Exports:scISR
Dependencies:clustercodetoolscommonmarkdoParallelentropyFNNforeachimputeirlbaiteratorslatticemarkdownMatrixmatrixStatsmclustPINSPlusRcppRcppArmadilloRcppParallelxfun
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Goolam | Goolam |
scISR: Single-cell Imputation using Subspace Regression | scISR |