Geometric Path Integrals. A Language for Multiscale Biology and Systems Robustness

Details Geometric Path Integrals. A Language for Multiscale Biology and Systems Robustness Geometric Path Integrals. A Language for Multiscale Biology and Systems Robustness

2011-08-26

arxiv.org/abs/1108.5399v1

Biology

Quantitative Biology

Molecular Networks

Scientific paper

In this paper we suggest that, under suitable conditions, supervised learning can provide the basis to formulate at the microscopic level quantitative questions on the phenotype structure of multicellular organisms. The problem of explaining the robustness of the phenotype structure is rephrased as a real geometrical problem on a fixed domain. We further suggest a generalization of path integrals that reduces the problem of deciding whether a given molecular network can generate specific phenotypes to a numerical property of a robustness function with complex output, for which we give heuristic justification. Finally, we use our formalism to interpret a pointedly quantitative developmental biology problem on the allowed number of pairs of legs in centipedes.

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