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

A systematic assessment of linking gene expression with genetic variants for prioritizing candidate targets.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing - 1 Jan 2015

Fan-Minogue Hua, Chen Bin, Sikora-Wohlfeld Weronika, Sirota Marina, Butte Atul J

Abstract excerpt

Gene expression and disease-associated variants are often used to prioritize candidate genes for target validation. However, the success of these gene features alone or in combination in the discovery of therapeutic targets is uncertain. Here we evaluated the effectiveness of the differential expression (DE), the disease-associated single nucleotide polymorphisms (SNPs) and the combination of the two in...

Read the complete abstract on PubMed

Topics

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

Share to Computational Biology
Share to Databases, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Disease

Share to Gene Expression

Share to Genetic Variation

Share to Oligonucleotide Array Sequence Analysis

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 25592598
PMCID: PMC4299914

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.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A systematic assessment of linking gene expression with genetic variants for prioritizing candidate targets.PMID 25592598Read ↗

pBRIT: gene prioritization by correlating functional and phenotypic annotations through integrative data fusion.Semantic proximity Read ↗

Integrated analysis of numerous heterogeneous gene expression profiles for detecting robust disease-specific biomarkers and proposing drug targets.Semantic proximity Read ↗

Genetically supported drug target prioritization for rare diseases.Semantic proximity Read ↗

Prioritizing disease-related rare variants by integrating gene expression data.Semantic proximity Read ↗

The Gene Expression Landscape of Disease GenesSemantic proximity Read ↗

Compilation of a comprehensive gene panel for systematic assessment of genes that govern an individual's drug responses.Semantic proximity Read ↗

The reliable identification of disease-gene associations.Semantic proximity Read ↗

Prioritizing disease-related rare variants by integrating gene expression dataSemantic proximity Read ↗

Prioritizing and characterizing functionally relevant genes across human tissuesSemantic proximity Read ↗

Prioritizing complex disease risk genes by integrating multiple data.Semantic proximity Read ↗

The gene expression landscape of disease genes.Semantic proximity Read ↗

Prediction of drug targets for specific diseases leveraging gene perturbation data: A machine learning approachSemantic proximity Read ↗

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