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- Sattar Taheri-Araghi, S. Bradde, +5 authors Suckjoon Jun
- Current Biology
- 2015

How cells control their size and maintain size homeostasis is a fundamental open question. Cell-size homeostasis has been discussed in the context of two major paradigms: "sizer," in which the cell actively monitors its size and triggers the cell cycle once it reaches a critical size, and "timer," in which the cell attempts to grow for a specific amount of… (More)

We introduce a new distributed algorithm for aligning graphs or finding substructures within a given graph. It is based on the cavity method and is used to study the maximum-clique and the graph-alignment problems in random graphs. The algorithm allows to analyze large graphs and may find applications in fields such as computational biology. As a proof of… (More)

- Valentina Baldazzi, S. Bradde, Simona Cocco, Enzo Marinari, R'emi Monasson
- Physical review. E, Statistical, nonlinear, and…
- 2007

The complementary strands of DNA molecules can be separated when stretched apart by a force; the unzipping signal is correlated to the base content of the sequence but is affected by thermal and instrumental noise. We consider here the ideal case where opening events are known to a very good time resolution (very large bandwidth), and study how the sequence… (More)

We propose a new method for hierarchical clustering based on the optimisation of a cost function over trees of limited depth, and we derive a message–passing method that allows to solve it efficiently. The method and algorithm can be interpreted as a natural interpolation between two well-known approaches, namely single linkage and the recently presented… (More)

- S. Bradde, Alfredo Braunstein, H. Mahmoudi, F. Tria, Martin Weigt, Riccardo Zecchina
- ArXiv
- 2009

- S. Bradde, Fabio Caccioli, Luca Dall'Asta, Ginestra Bianconi
- Physical review letters
- 2010

An anomalous mean-field solution is known to capture the nontrivial phase diagram of the Ising model in annealed complex networks. Nevertheless, the critical fluctuations in random complex networks remain mean field. Here we show that a breakdown of this scenario can be obtained when complex networks are embedded in geometrical spaces. Through the analysis… (More)

- S. Bradde, William Bialek
- 2016

A system with many degrees of freedom can be characterized by a covariance matrix; principal components analysis (PCA) focuses on the eigenvalues of this matrix, hoping to find a lower dimensional description. But when the spectrum is nearly continuous, any distinction between components that we keep and those that we ignore becomes arbitrary; it then is… (More)

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