DGCA statistics

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Citations per year

Number of citations per year for the bioinformatics software tool DGCA
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Tool usage distribution map

This map represents all the scientific publications referring to DGCA per scientific context
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DGCA specifications

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Unique identifier OMICS_13629
Name DGCA
Alternative name Differential Gene Correlation Analysis
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input data A matrix of gene expression values, a design matrix specifying conditions associated with samples, and a specification of the conditions for comparison
Output data Differentially correlated gene pairs for visualization, gene ontology (GO) enrichment, and/or network construction
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 3.0
Computer skills Advanced
Version 1.0.1
Stability Stable
Requirements
WGCNA, matrixStats, methods
Maintained Yes

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Maintainer


  • person_outline Bin Zhang

Publication for Differential Gene Correlation Analysis

DGCA citations

 (3)
library_books

Commensal microbiota modulate gene expression in the skin

2018
Microbiome
PMCID: 5789709
PMID: 29378633
DOI: 10.1186/s40168-018-0404-9

[…] Gene correlation analysis was performed on all 2820 DEGs with the DGCA R package, using default parameters unless otherwise specified []. Initially, genes were filtered for low central tendency, retaining only genes with average expression levels in the 75th percent […]

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Transcriptome wide analysis of natural antisense transcripts shows their potential role in breast cancer

2017
Sci Rep
PMCID: 5727077
PMID: 29234122
DOI: 10.1038/s41598-017-17811-2

[…] DiffCor list: Differential correlation analysis between pairs of protein-coding and antisense transcripts was performed using DGCA software (v. 1.0.1). Pairs of protein coding/antisense genes were selected for which the correlation significantly differed between normal and tumor samples (adjusted p-value < 0.05) and for whic […]

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Multiscale network modeling of oligodendrocytes reveals molecular components of myelin dysregulation in Alzheimer’s disease

2017
Mol Neurodegener
PMCID: 5674813
PMID: 29110684
DOI: 10.1186/s13024-017-0219-3

[…] tial connectivity analysis in order to assess the overall difference in between samples classified as non-AD (Braak 0–2) and AD (Braak 5–6), calculated using the mean difference in z-scores option in DGCA [] (v. 1.0.1), with 10,000 permutation samples to assess significance. We used a Student’s t-test to measure differences in average expression between conditions, using the q value R package [] t […]


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DGCA institution(s)
Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
DGCA funding source(s)
This work was supported by the grants F30AG052261 and R01AG046170 from the NIH/National Institute on Aging (NIA), R01CA163772 from NIH/National Cancer Institute (NCI), and U01AI111598-01 from NIH/National Institute of Allergy and Infectious Diseases (NIAID).

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