Network Analyses in Systems Biology: New Strategies for Dealing with Biological Complexity
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Network Analyses in Systems Biology : New Strategies for Dealing with Biological Complexity. / Green, Sara; Serban, Maria; Scholl, Raphael ; Jones, Nicholaos; Brigandt, Ingo ; Bechtel, William.
I: Synthese, Bind 195, Nr. 4, 01.04.2018, s. 1751–1777.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Network Analyses in Systems Biology
T2 - New Strategies for Dealing with Biological Complexity
AU - Green, Sara
AU - Serban, Maria
AU - Scholl, Raphael
AU - Jones, Nicholaos
AU - Brigandt, Ingo
AU - Bechtel, William
PY - 2018/4/1
Y1 - 2018/4/1
N2 - The increasing application of network models to interpret biological systems raises a number of important methodological and epistemological questions. What novel insights can network analysis provide in biology? Are network approaches an extension of or in conflict with mechanistic research strategies? When and how can network and mechanistic approaches interact in productive ways? In this paper we address these questions by focusing on how biological networks are represented and analyzed in a diverse class of case studies. Our examples span from the investigation of organizational properties of biological networks using tools from graph theory to the application of dynamical systems theory to understand the behavior of complex biological systems. We show how network approaches support and extend traditional mechanistic strategies but also offer novel strategies for dealing with biological complexity.
AB - The increasing application of network models to interpret biological systems raises a number of important methodological and epistemological questions. What novel insights can network analysis provide in biology? Are network approaches an extension of or in conflict with mechanistic research strategies? When and how can network and mechanistic approaches interact in productive ways? In this paper we address these questions by focusing on how biological networks are represented and analyzed in a diverse class of case studies. Our examples span from the investigation of organizational properties of biological networks using tools from graph theory to the application of dynamical systems theory to understand the behavior of complex biological systems. We show how network approaches support and extend traditional mechanistic strategies but also offer novel strategies for dealing with biological complexity.
KW - Biological networks
KW - Mechanistic research strategies
KW - Network modeling
KW - Representation
KW - Systems biology
UR - http://www.scopus.com/inward/record.url?scp=85009865584&partnerID=8YFLogxK
U2 - 10.1007/s11229-016-1307-6
DO - 10.1007/s11229-016-1307-6
M3 - Journal article
VL - 195
SP - 1751
EP - 1777
JO - Synthese
JF - Synthese
SN - 0039-7857
IS - 4
ER -
ID: 170143221