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

Comparison of Methods for Differential Co-expression Analysis for Disease Biomarker Prediction

10 Aug 2019

Abstract excerpt

No abstract is available from the source.

Read the complete abstract on PubMed

Topics

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

Share to Alzheimer's disease research and treatments
Share to Bioinformatics and Genomic Networks
Share to Gene expression and cancer classification

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 31415946
DOI: 10.1016/j.compbiomed.2019.103380

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

Comparison of Methods for Differential Co-expression Analysis for Disease Biomarker PredictionPMID 31415946Read ↗

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

A data-driven approach to build a predictive model of cancer patients' disease outcome by utilizing co-expression networksSemantic proximity Read ↗

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

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

Computational Inference of Gene Co-Expression Networks for the identification of Lung Carcinoma Biomarkers: An Ensemble Approach.Semantic proximity Read ↗

Incorporating gene co-expression network in identification of cancer prognosis markersSemantic proximity Read ↗

Novel Genomic Biomarker Candidates for Cervical Cancer As Identified by Differential Co-Expression Network AnalysisSemantic proximity Read ↗

MultiDCoX: Multi-factor analysis of differential co-expression.Semantic proximity Read ↗

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

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

Covariance thresholding to detect differentially co-expressed genes from microarray gene expression data.Semantic proximity Read ↗

Application of Pearson correlation coefficient (PCC) and Kolmogorov-Smirnov distance (KSD) metrics to identify disease-specific biomarker genesSemantic proximity Read ↗

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