Landscape, bifurcations, geometry for development

Abstract We review recent advances in the mathematical modelling of development, with a special focus on the concepts from non linear physics applied to cellular differentiation and metazoan segmentation. Those models suggest that geometric descriptions with few parameters are sufficient to capture many of the non trivial aspects of development. We also describe open questions such as the connections to machine learning, from network enumeration/evolution to landscape reconstruction.

• Publication year

  2018

• Venue

  Current Opinion in Systems Biology

• Publication date

  2018-10-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1016/J.COISB.2018.06.001
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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