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OmicsQC  

Nominating Quality Control Outliers in Genomic Profiling Studies
View on CRAN: Click here


Download and install OmicsQC package within the R console
Install from CRAN:
install.packages("OmicsQC")

Install from Github:
library("remotes")
install_github("cran/OmicsQC")

Install by package version:
library("remotes")
install_version("OmicsQC", "1.1.0")



Attach the package and use:
library("OmicsQC")
Maintained by
Paul C. Boutros
[Scholar Profile | Author Map]
First Published: 2024-03-01
Latest Update: 2024-03-01
Description:
A method that analyzes quality control metrics from multi-sample genomic sequencing studies and nominates poor quality samples for exclusion. Per sample quality control data are transformed into z-scores and aggregated. The distribution of aggregated z-scores are modelled using parametric distributions. The parameters of the optimal model, selected either by goodness-of-fit statistics or user-designation, are used for outlier nomination. Two implementations of the Cosine Similarity Outlier Detection algorithm are provided with flexible parameters for dataset customization.
How to cite:
Paul C. Boutros (2024). OmicsQC: Nominating Quality Control Outliers in Genomic Profiling Studies. R package version 1.1.0, https://cran.r-project.org/web/packages/OmicsQC. Accessed 01 Apr. 2025.
Previous versions and publish date:
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Complete documentation for OmicsQC
Functions, R codes and Examples using the OmicsQC R package
Full OmicsQC package functions and examples
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