Please use this identifier to cite or link to this item: doi:10.22028/D291-35403
Title: REGGAE: a novel approach for the identification of key transcriptional regulators
Author(s): Kehl, Tim
Schneider, Lara
Kattler, Kathrin
Stöckel, Daniel
Wegert, Jenny
Gerstner, Nico
Ludwig, Nicole
Distler, Ute
Schick, Markus
Keller, Ulrich
Tenzer, Stefan
Gessler, Manfred
Walter, Jörn
Keller, Andreas
Graf, Norbert
Meese, Eckart
Lenhof, Hans-Peter
Language: English
Title: Bioinformatics
Volume: 34
Issue: 20
Pages: 3503–3510
Publisher/Platform: Oxford University Press
Year of Publication: 2018
DDC notations: 004 Computer science, internet
500 Science
610 Medicine and health
Publikation type: Journal Article
Abstract: Motivation: Transcriptional regulators play a major role in most biological processes. Alterations in their activities are associated with a variety of diseases and in particular with tumor development and progres sion. Hence, it is important to assess the effects of deregulated regulators on pathological processes. Results: Here, we present REGulator-Gene Association Enrichment (REGGAE), a novel method for the identification of key transcriptional regulators that have a significant effect on the expression of a given set of genes, e.g. genes that are differentially expressed between two sample groups. REGGAE uses a Kolmogorov–Smirnov-like test statistic that implicitly combines associations be tween regulators and their target genes with an enrichment approach to prioritize the influence of transcriptional regulators. We evaluated our method in two different application scenarios, which demonstrate that REGGAE is well suited for uncovering the influence of transcriptional regulators and is a valuable tool for the elucidation of complex regulatory mechanisms.
DOI of the first publication: 10.1093/bioinformatics/bty372
Link to this record: urn:nbn:de:bsz:291--ds-354035
ISSN: 1460-2059
Date of registration: 7-Feb-2022
Description of the related object: Supplementary data
Related object:
Faculty: M - Medizinische Fakultät
MI - Fakultät für Mathematik und Informatik
NT - Naturwissenschaftlich- Technische Fakultät
Department: M - Humangenetik
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
M - Pädiatrie
MI - Informatik
NT - Biowissenschaften
Professorship: M - Prof. Dr. Norbert Graf
M - Univ.-Prof. Dr. Andreas Keller
M - Prof. Dr. Eckhart Meese
MI - Prof. Dr. Hans-Peter Lenhof
NT - Prof. Dr. Jörn Walter
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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