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Article

Gdaphen, R pipeline to identify the most important qualitative and quantitative predictor variables from phenotypic data.

BMC bioinformatics - 26 Jan 2023

Muñiz Moreno Maria Del Mar, Gavériaux-Ruff Claire, Herault Yann

Abstract excerpt

BACKGROUND: In individuals or animals suffering from genetic or acquired diseases, it is important to identify which clinical or phenotypic variables can be used to discriminate between disease and non-disease states, the response to treatments or sexual dimorphism. However, the data often suffers from low number of samples, high number of variables or unbalanced experimental designs. Moreover, several parameters...

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PMID: 36703114
DOI: 10.1186/s12859-022-05111-0
PMCID: PMC9878791

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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