Literature DB >> 21197659

Network biology: a direct approach to study biological function.

Frank Emmert-Streib1, Galina V Glazko.   

Abstract

In this paper we discuss the dualism of gene networks and their role in systems biology. We argue that gene networks (1) can serve as a conceptual framework, forming a fundamental level of a phenomenological description, and (2) are a means to represent and analyze data. The latter point does not only allow a systems analysis but is even amenable for a direct approach to study biological function. Here we focus on the clarity of our main arguments and conceptual meaning of gene networks, rather than the causal inference of gene networks from data. WIREs Syst Biol Med 2011 3 379-391 DOI: 10.1002/wsbm.134 For further resources related to this article, please visit the WIREs website.
Copyright © 2010 John Wiley & Sons, Inc.

Mesh:

Year:  2010        PMID: 21197659     DOI: 10.1002/wsbm.134

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev Syst Biol Med        ISSN: 1939-005X


  31 in total

1.  Statistical inference and reverse engineering of gene regulatory networks from observational expression data.

Authors:  Frank Emmert-Streib; Galina V Glazko; Gökmen Altay; Ricardo de Matos Simoes
Journal:  Front Genet       Date:  2012-02-03       Impact factor: 4.599

Review 2.  Perspectives on systems biology applications in diabetic kidney disease.

Authors:  Claudiu V Komorowsky; Frank C Brosius; Subramaniam Pennathur; Matthias Kretzler
Journal:  J Cardiovasc Transl Res       Date:  2012-06-26       Impact factor: 4.132

Review 3.  Signaling networks in palate development.

Authors:  Jamie Lane; Vesa Kaartinen
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2014-03-18

4.  A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data.

Authors:  Frank Emmert-Streib; Ricardo de Matos Simoes; Shailesh Tripathi; Galina V Glazko; Matthias Dehmer
Journal:  Sci Rep       Date:  2012-07-20       Impact factor: 4.379

5.  Limitations of gene duplication models: evolution of modules in protein interaction networks.

Authors:  Frank Emmert-Streib
Journal:  PLoS One       Date:  2012-04-18       Impact factor: 3.240

6.  Structural properties and complexity of a new network class: Collatz step graphs.

Authors:  Frank Emmert-Streib
Journal:  PLoS One       Date:  2013-02-19       Impact factor: 3.240

7.  Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma.

Authors:  Ricardo de Matos Simoes; Shailesh Tripathi; Frank Emmert-Streib
Journal:  BMC Syst Biol       Date:  2012-05-14

8.  Interfacing cellular networks of S. cerevisiae and E. coli: connecting dynamic and genetic information.

Authors:  Ricardo de Matos Simoes; Matthias Dehmer; Frank Emmert-Streib
Journal:  BMC Genomics       Date:  2013-05-11       Impact factor: 3.969

9.  Collectives of diagnostic biomarkers identify high-risk subpopulations of hematuria patients: exploiting heterogeneity in large-scale biomarker data.

Authors:  Frank Emmert-Streib; Funso Abogunrin; Ricardo de Matos Simoes; Brian Duggan; Mark W Ruddock; Cherith N Reid; Owen Roddy; Lisa White; Hugh F O'Kane; Declan O'Rourke; Neil H Anderson; Thiagarajan Nambirajan; Kate E Williamson
Journal:  BMC Med       Date:  2013-01-17       Impact factor: 8.775

Review 10.  Computational Biology and Machine Learning Approaches to Understand Mechanistic Microbiome-Host Interactions.

Authors:  Padhmanand Sudhakar; Kathleen Machiels; Bram Verstockt; Tamas Korcsmaros; Séverine Vermeire
Journal:  Front Microbiol       Date:  2021-05-11       Impact factor: 5.640

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