Please use this identifier to cite or link to this item: doi:10.22028/D291-30784
Title: Topology Consistency of Disease-specific Differential Co-regulatory Networks
Author(s): Nazarieh, Maryam
Rajula, Hema Sekhar Reddy
Helms, Volkhard
Language: English
Title: BMC Bioinformatics
Volume: 20
Issue: 1
Publisher/Platform: SpringerNature
Year of Publication: 2019
Free key words: Topology consistency
TF-miRNA co-regulatory networks
TFmiR
Minimum dominating set
Minimum connected dominating set
DDC notations: 500 Science
Publikation type: Journal Article
Abstract: Background: Sets of differentially expressed genes often contain driver genes that induce disease processes. However, various methods for identifying differentially expressed genes yield quite different results. Thus, we investigated whether this affects the identification of key players in regulatory networks derived by downstream analysis from lists of differentially expressed genes. Results: While the overlap between the sets of significant differentially expressed genes determined by DESeq, edgeR, voom and VST was only 26% in liver hepatocellular carcinoma and 28% in breast invasive carcinoma, the topologies of the regulatory networks constructed using the TFmiR webserver for the different sets of differentially expressed genes were found to be highly consistent with respect to hub-degree nodes, minimum dominating set and minimum connected dominating set. Conclusions: The findings suggest that key genes identified in regulatory networks derived by systematic analysis of differentially expressed genes may be a more robust basis for understanding diseases processes than simply inspecting the lists of differentially expressed genes.
DOI of the first publication: 10.1186/s12859-019-3107-8
Link to this record: urn:nbn:de:bsz:291--ds-307849
hdl:20.500.11880/29049
http://dx.doi.org/10.22028/D291-30784
ISSN: 1471-2105
Date of registration: 24-Apr-2020
Description of the related object: Supplementary information
Related object: https://static-content.springer.com/esm/art%3A10.1186%2Fs12859-019-3107-8/MediaObjects/12859_2019_3107_MOESM1_ESM.pdf
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Biowissenschaften
Professorship: NT - Prof. Dr. Volkhard Helms
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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