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rnaSentry

This is the development version of rnaSentry; to use it, please install the devel version of Bioconductor.

Guarded and Auditable Discovery of Prognostic RNA-Seq Signatures


Bioconductor version: Development (3.24)

Orchestrates the statistical pipeline underlying prognostic biomarker discovery from bulk RNA-seq SummarizedExperiment objects: sample-identity and quality-control auditing, confounder and design-formula detection prior to differential expression, signature construction with explicit cross-validation stability reporting, survival modeling (Kaplan-Meier, log-rank, Cox proportional hazards), and external validation against public cohorts. Every automated statistical decision is reported with its supporting statistic and a plain-language rationale, and validation stages are gated rather than silently degraded when guardrail criteria are not met. The package records all guardrail decisions, flag ledgers, and validation results in a structured audit trail that can be rendered into a standalone HTML report.

Author: Abdelkarim Hani Ghrieb [aut, cre]

Maintainer: Abdelkarim Hani Ghrieb <ghriebabdelkarimhani at gmail.com>

Citation (from within R, enter citation("rnaSentry")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("rnaSentry")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("rnaSentry")
1. Introduction to rnaSentry HTML R Script
2. Getting started: from two CSVs to a SummarizedExperiment HTML R Script
3. Naive analysis vs rnaSentry: what the guardrails prevent HTML R Script
4. Case study: breast cancer (GSE20685) HTML R Script
5. Case study: confounder audit HTML R Script
6. Case study: small cohorts HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews BatchEffect, DifferentialExpression, GeneExpression, Normalization, QualityControl, RNASeq, Software, Survival
Version 0.99.19
In Bioconductor since BioC 3.24 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.5.0)
Imports S4Vectors, SummarizedExperiment, survival, withr, methods
System Requirements
URL https://ghrieb.github.io/rnaSentry/ https://github.com/Ghrieb/rnaSentry
Bug Reports https://github.com/Ghrieb/rnaSentry/issues
See More
Suggests Biobase, BiocParallel, BiocStyle, GEOquery, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
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Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package rnaSentry_0.99.19.tar.gz
Windows Binary (x86_64) rnaSentry_0.99.19.zip (64-bit only)
macOS Binary (big-sur-x86_64) rnaSentry_0.99.19.tgz
macOS Binary (sonoma-arm64) rnaSentry_0.99.19.tgz
Source Repository git clone https://git.bioconductor.org/packages/rnaSentry
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/rnaSentry
Bioc Package Browser https://code.bioconductor.org/browse/rnaSentry/
Package Short Url https://bioconductor.org/packages/rnaSentry/
Package Downloads Report Download Stats