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

Classification of genes and putative biomarker identification using distribution metrics on expression profiles.

PloS one - 4 Feb 2010

Huang Hung-Chung, Jupiter Daniel, VanBuren Vincent

Abstract excerpt

BACKGROUND: Identification of genes with switch-like properties will facilitate discovery of regulatory mechanisms that underlie these properties, and will provide knowledge for the appropriate application of Boolean networks in gene regulatory models. As switch-like behavior is likely associated with tissue-specific expression, these gene products are expected to be plausible candidates as tissue-specific...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Cluster Analysis
Share to Databases, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Regulatory Networks

Share to Myocardium

Share to Oligonucleotide Array Sequence Analysis

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 20140228
DOI: 10.1371/journal.pone.0009056
PMCID: PMC2816221

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Classification of genes and putative biomarker identification using distribution metrics on expression profiles.PMID 20140228Read ↗

Switch-like genes populate cell communication pathways and are enriched for extracellular proteins.Semantic proximity Read ↗

Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classification.Semantic proximity Read ↗

Potential translational targets revealed by linking mouse grooming behavioral phenotypes to gene expression using public databases.Semantic proximity Read ↗

Determining gene specificity from multivariate single-cell RNA sequencing dataSemantic proximity Read ↗

Combined application of behavior genetics and microarray analysis to identify regional expression themes and gene-behavior associations.Semantic proximity Read ↗

Identifying subtle interrelated changes in functional gene categories using continuous measures of gene expression.Semantic proximity Read ↗

DiffBrainNet: differential analyses add new insights into the response to glucocorticoids at the level of genes, networks and brain regionsSemantic proximity Read ↗

Phenotypical enrichment strategies for microarray data analysis applied in a type II diabetes study.Semantic proximity Read ↗

Analyzing gene expression data in mice with the Neuro Behavior Ontology.Semantic proximity Read ↗

Altered Gene Expression in Prefrontal Cortex of a Fabry Disease Mouse ModelSemantic proximity Read ↗

Gene expression in cortex and hippocampus during acute pneumococcal meningitisSemantic proximity Read ↗

Genes and gene networks implicated in aggression related behaviour.Semantic proximity Read ↗

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