A Biomarker Validation Approach for Classification and Predicting Survival Using Metabolomics Signature
Overview
An approach to identifies metabolic biomarker signature for metabolic data by discovering predictive metabolite for predicting survival and classifying patients into risk groups. Classifiers are constructed as a linear combination of predictive/important metabolites, prognostic factors and treatment effects if necessary. Several methods were implemented to reduce the metabolomics matrix such as the principle component analysis of Wold Svante et al. (1987) doi:10.1016/0169-7439(87)80084-9 , the LASSO method by Robert Tibshirani (1998) doi:10.1002/(SICI)1097-0258(19970228)16:4%3C385::AID-SIM380%3E3.0.CO;2-3, the elastic net approach by Hui Zou and Trevor Hastie (2005) doi:10.1111/j.1467-9868.2005.00503.x. Sensitivity analysis on the quantile used for the classification can also be accessed to check the deviation of the classification group based on the quantile specified. Large scale cross validation can be performed in order to investigate the mostly selected predictive metabolites and for internal validation. During the evaluation process, validation is accessed using the hazard ratios (HR) distribution of the test set and inference is mainly based on resampling and permutations technique.
Install
Health
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
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checkRd: (-1) CVLasoelacox.Rd:86-87: Lost braces in \itemize; \value handles \item{}{} directly- NOTE13 NOTE2026-09-08
- ERROR12 NOTE, 1 ERROR2026-09-07
- NOTE13 NOTE2026-06-09
- ERROR12 NOTE, 1 ERROR2026-06-08
- NOTE14 NOTE2026-03-10
Documentation
- Help pages
- 57includes a package overview page
- Examples that run
- 44%11 run in a plain check · 14 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 99%
- Return-value docs
- 100%
- Help pages citing references
- 9% with a bibliography file
Downloads
Repository
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/olajumokeevangelina/metabolicsurv on 2026-10-11.
GitHub Pages site last deployed 2019-08-06
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- unarchivedReturned to CRAN2021-06-11
- 1.1.2Latest2021-06-11 · current release · diff ↗ ·
removed 2 exports
CVSim, QuantileAnalysisadded 2 exports
CVSimet, ms - RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2020-08-26requires archived package 'superpc'
- 1.1.12020-08-24 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.1.02019-08-05 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 1.0.02019-01-31
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2019-01-31
- Total releases
- 4 / 7 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 2.2 KB / 1 file
- Download size
- 201 KB
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