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Article

Machine learning approaches for phenotype-genotype mapping: predicting heterozygous mutations in the CYP21B gene from steroid profiles.

European journal of endocrinology - 1 Aug 2005

Prank Klaus, Schulze Egbert, Eckert Olaf, Nattkemper Tim W, Bettendorf Markus, Maser-Gluth Christiane, Sejnowski Terrence J, Grote Arno, Penner Erika, von Zur Mühlen Alexander, Brabant Georg

Abstract excerpt

OBJECTIVE: Non-linear relations between multiple biochemical parameters are the basis for the diagnosis of many diseases. Traditional linear analytical methods are not reliable predictors. Novel nonlinear techniques are increasingly used to improve the diagnostic accuracy of automated data interpretation. This has been exemplified in particular for the classification and diagnostic prediction of cancers based on...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 16061837
DOI: 10.1530/eje.1.01957
PMCID: PMC2909743

Provenance

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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