Package: OutSeekR 1.0.0
OutSeekR: Statistical Approach to Outlier Detection in RNA-Seq and Related Data
An approach to outlier detection in RNA-seq and related data based on five statistics. 'OutSeekR' implements an outlier test by comparing the distributions of these statistics in observed data with those of simulated null data.
Authors:
OutSeekR_1.0.0.tar.gz
OutSeekR_1.0.0.tar.gz(r-4.5-noble)OutSeekR_1.0.0.tar.gz(r-4.4-noble)
OutSeekR_1.0.0.tgz(r-4.4-emscripten)OutSeekR_1.0.0.tgz(r-4.3-emscripten)
OutSeekR.pdf |OutSeekR.html✨
OutSeekR/json (API)
NEWS
# Install 'OutSeekR' in R: |
install.packages('OutSeekR', repos = 'https://cloud.r-project.org') |
- example.data.for.calculate.p.values - Example.data.for.calculate.p.values
- outliers - Example data set for outlier testing
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 months agofrom:d264f12af4. Checks:3 OK. Indexed: no.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 20 2025 |
R-4.5-linux | OK | Mar 20 2025 |
R-4.4-linux | OK | Mar 20 2025 |
Exports:calculate.p.valuescalculate.residualsdetect.outliersidentify.bic.optimal.data.distributionidentify.bic.optimal.residuals.distributionkmeans.fractionoutlier.detection.cosinequantify.outlierssimulate.nulltrim.samplezrange
Dependencies:codetoolsdigestfuturefuture.applygamlssgamlss.datagamlss.distglobalslatticelistenvlsaMASSMatrixnlmeparallellySnowballCsurvivaltruncnorm
Citation
To cite package ‘OutSeekR’ in publications use:
Han J, Sahrmann J, Boutros P (2024). OutSeekR: Statistical Approach to Outlier Detection in RNA-Seq and Related Data. R package version 1.0.0, https://CRAN.R-project.org/package=OutSeekR.
Corresponding BibTeX entry:
@Manual{, title = {OutSeekR: Statistical Approach to Outlier Detection in RNA-Seq and Related Data}, author = {Jee Yun Han and John Sahrmann and Paul Boutros}, year = {2024}, note = {R package version 1.0.0}, url = {https://CRAN.R-project.org/package=OutSeekR}, }
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Calculate p-values | calculate.p.values |
Calculate residuals | calculate.residuals |
Detect outliers | detect.outliers |
example.data.for.calculate.p.values | example.data.for.calculate.p.values |
Identify optimal distribution of data | identify.bic.optimal.data.distribution |
Identify optimal distribution of residuals | identify.bic.optimal.residuals.distribution |
k-means fraction | kmeans.fraction |
Cosine similarity | outlier.detection.cosine |
Example data set for outlier testing | outliers |
Compute quantities for outlier detection | quantify.outliers |
Simulate from a null distribution | simulate.null |
Trim a vector of numbers | trim.sample |
Range of z-scores | zrange |