TY  - JOUR
A1  - Larhlimi, Abdelhalim
A1  - Blachon, Sylvain
A1  - Selbig, Joachim
A1  - Nikoloski, Zoran
T1  - Robustness of metabolic networks a review of existing definitions
JF  - Biosystems : journal of biological and information processing sciences
N2  - Describing the determinants of robustness of biological systems has become one of the central questions in systems biology. Despite the increasing research efforts, it has proven difficult to arrive at a unifying definition for this important concept. We argue that this is due to the multifaceted nature of the concept of robustness and the possibility to formally capture it at different levels of systemic formalisms (e.g, topology and dynamic behavior). Here we provide a comprehensive review of the existing definitions of robustness pertaining to metabolic networks. As kinetic approaches have been excellently reviewed elsewhere, we focus on definitions of robustness proposed within graph-theoretic and constraint-based formalisms.
KW  - Robustness
KW  - Metabolic networks
KW  - Graph theory
KW  - Constraint-based approaches
Y1  - 2011
U6  - https://doi.org/10.1016/j.biosystems.2011.06.002
SN  - 0303-2647
VL  - 106
IS  - 1
SP  - 1
EP  - 8
PB  - Elsevier
CY  - Oxford
ER  - 
TY  - JOUR
A1  - Rajasundaram, Dhivyaa
A1  - Selbig, Joachim
T1  - analysis
JF  - Current opinion in plant biology
N2  - The development of ‘omics’ technologies has progressed to address complex biological questions that underlie various plant functions thereby producing copious amounts of data. The need to assimilate large amounts of data into biologically meaningful interpretations has necessitated the development of statistical methods to integrate multidimensional information. Throughout this review, we provide examples of recent outcomes of ‘omics’ data integration together with an overview of available statistical methods and tools.
Y1  - 2016
U6  - https://doi.org/10.1016/j.pbi.2015.12.010
SN  - 1369-5266
SN  - 1879-0356
VL  - 30
SP  - 57
EP  - 61
PB  - Elsevier
CY  - London
ER  -