Conceptual and methodological biases in network models

Ehud Lamm*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Many natural and biological phenomena can be depicted as networks. Theoretical and empirical analyses of networks have become prevalent. I discuss theoretical biases involved in the delineation of biological networks. The network perspective is shown to dissolve the distinction between regulatory architecture and regulatory state, consistent with the theoretical impossibility of distinguishing a priori between "program" and "data." The evolutionary significance of the dynamics of trans-generational and interorganism regulatory networks is explored and implications are presented for understanding the evolution of the biological categories development-heredity, plasticity-evolvability, and epigenetic-genetic.

Original languageEnglish
Title of host publicationNatural Genetic Engineering and Natural Genome Editing
PublisherBlackwell Publishing Inc.
Pages291-304
Number of pages14
ISBN (Print)9781573317658
DOIs
StatePublished - 2009

Publication series

NameAnnals of the New York Academy of Sciences
Volume1178
ISSN (Print)0077-8923
ISSN (Electronic)1749-6632

Keywords

  • Epigenetic inheritance
  • Evo-devo
  • Evolutionary transitions
  • Variation
  • Weak linkage

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