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

The application of network label propagation to rank biomarkers in genome-wide Alzheimer's data.

BMC genomics - 14 Apr 2014

Stokes Matthew E, Barmada M Michael, Kamboh M Ilyas, Visweswaran Shyam

Abstract excerpt

BACKGROUND: Ranking and identifying biomarkers that are associated with disease from genome-wide measurements holds significant promise for understanding the genetic basis of common diseases. The large number of single nucleotide polymorphisms (SNPs) in genome-wide studies (GWAS), however, makes this task computationally challenging when the ranking is to be done in a multivariate fashion. This paper evaluates...

Read the complete abstract on PubMed

Topics

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

Share to Alzheimer Disease
Share to Biomarkers
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 24731236
DOI: 10.1186/1471-2164-15-282
PMCID: PMC4234455

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

The application of network label propagation to rank biomarkers in genome-wide Alzheimer's data.PMID 24731236Read ↗

Prioritizing candidate disease genes by network-based boosting of genome-wide association data.Semantic proximity Read ↗

Predicting disease risk using bootstrap ranking and classification algorithms.Semantic proximity Read ↗

Network propagation for GWAS analysis: a practical guide to leveraging molecular networks for disease gene discovery.Semantic proximity Read ↗

Prioritizing disease genes with an improved dual label propagation framework.Semantic proximity Read ↗

Random forests on Hadoop for genome-wide association studies of multivariate neuroimaging phenotypes.Semantic proximity Read ↗

Learning Predictive Interactions Using Information Gain and Bayesian Network Scoring.Semantic proximity Read ↗

Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort.Semantic proximity Read ↗

Label propagation-based semi-supervised feature selection on decoding clinical phenotypes with RNA-seq data.Semantic proximity Read ↗

A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis.Semantic proximity Read ↗

Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease.Semantic proximity Read ↗

Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics.Semantic proximity Read ↗

Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations.Semantic proximity Read ↗

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