Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Supervised selection of single nucleotide polymorphisms in chronic fatigue syndrome.

Biomedica : revista del Instituto Nacional de Salud - 1 Jan 2000

Cifuentes Ricardo A, Barreto Emiliano

Abstract excerpt

INTRODUCTION: The different ways for selecting single nucleotide polymorphisms have been related to paradoxical conclusions about their usefulness in predicting chronic fatigue syndrome even when using the same dataset. OBJECTIVE: To evaluate the efficacy in predicting this syndrome by using polymorphisms selected by a supervised approach that is claimed to be a method that helps identifying their optimal...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Fatigue Syndrome, Chronic
Share to Genetic Testing
Share to Linkage Disequilibrium

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Polymorphism, Single Nucleotide

Source

Identifiers

PMID: 22674373
DOI: 10.1590/S0120-41572011000400017

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Supervised selection of single nucleotide polymorphisms in chronic fatigue syndrome.PMID 22674373Read ↗

A comparison of classification methods for predicting Chronic Fatigue Syndrome based on genetic data.Semantic proximity Read ↗

A systematic review of the association between fatigue and genetic polymorphisms.Semantic proximity Read ↗

Re-analysis of genetic risks for Chronic Fatigue Syndrome from 23andMe data finds few remainSemantic proximity Read ↗

Prediction of complex human diseases from pathway-focused candidate markers by joint estimation of marker effects: case of chronic fatigue syndrome.Semantic proximity Read ↗

Glucocorticoid receptor polymorphisms and haplotypes associated with chronic fatigue syndrome.Semantic proximity Read ↗

Combinations of single nucleotide polymorphisms in neuroendocrine effector and receptor genes predict chronic fatigue syndrome.Semantic proximity Read ↗

Single nucleotide polymorphism genes and mitochondrial DNA haplogroups as biomarkers for early prediction of knee osteoarthritis structural progressors: use of supervised machine learning classifiers.Semantic proximity Read ↗

Examination of Single Nucleotide Polymorphisms (SNPs) in Transient Receptor Potential (TRP) Ion Channels in Chronic Fatigue Syndrome PatientsSemantic proximity Read ↗

Linear data mining the Wichita clinical matrix suggests sleep and allostatic load involvement in chronic fatigue syndrome.Semantic proximity Read ↗

Use of single-nucleotide polymorphisms (SNPs) to distinguish gene expression subtypes of chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME).Semantic proximity Read ↗

Pathway-focused genetic evaluation of immune and inflammation related genes with chronic fatigue syndrome.Semantic proximity Read ↗

Machine learning techniques for single nucleotide polymorphism--disease classification models in schizophrenia.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.