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

MultiDCoX: Multi-factor analysis of differential co-expression.

BMC bioinformatics - 28 Dec 2017

Liany Herty, Rajapakse Jagath C, Karuturi R Krishna Murthy

Abstract excerpt

BACKGROUND: Differential co-expression (DCX) signifies change in degree of co-expression of a set of genes among different biological conditions. It has been used to identify differential co-expression networks or interactomes. Many algorithms have been developed for single-factor differential co-expression analysis and applied in a variety of studies. However, in many studies, the samples are characterized by...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Computer Simulation
Share to Factor Analysis, Statistical

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Regulatory Networks

Share to Matrix Metalloproteinase 1

Share to Receptors, Estrogen

Share to Survival Analysis

Share to Tumor Suppressor Protein p53

Source

Open in PubMed Open full text

Identifiers

PMID: 29297310
DOI: 10.1186/s12859-017-1963-7
PMCID: PMC5751780

Genes

DCX

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

MultiDCoX: Multi-factor analysis of differential co-expression.PMID 29297310Read ↗

MultiDCoX: Multi-factor Analysis of Differential CoexpressionSemantic proximity Read ↗

Patient-Specific Analysis of Co-expression Networks for Predicting Clinical Outcomes in Breast CancerSemantic proximity Read ↗

csdR, an R package for differential co-expression analysisSemantic proximity Read ↗

Gene co-expression analysis for functional classification and gene-disease predictions.Semantic proximity Read ↗

GeneCOCOA: Detecting context-specific functions of individual genes using co-expression dataSemantic proximity Read ↗

Whole transcriptomic network analysis using Co-expression Differential Network Analysis (CoDiNA).Semantic proximity Read ↗

A powerful framework for differential co-expression analysis of general risk factorsSemantic proximity Read ↗

COEXPEDIA: exploring biomedical hypotheses via co-expressions associated with medical subject headings (MeSH).Semantic proximity Read ↗

DiNeR: a <i>Di</i> fferential Graphical Model for analysis of co-regulation <i>Ne</i> twork <i>R</i> ewiringSemantic proximity Read ↗

A composite network of conserved and tissue specific gene interactions reveals possible genetic interactions in glioma.Semantic proximity Read ↗

Correlation AnalyzeR: functional predictions from gene co-expression correlations.Semantic proximity Read ↗

Serial co-expression analysis of host factors from SARS-CoV viruses highly converges with former high-throughput screenings and proposes key regulators and co-option of cellular pathwaysSemantic proximity Read ↗

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