Improving landscape inference by integrating heterogeneous data in the inverse Ising problem
Barrat-Charlaix P., Figliuzzi M., Weigt M. Scientific Reports (2016)
Barrat-Charlaix P., Figliuzzi M., Weigt M. Scientific Reports (2016)
Coucke A., Uguzzoni G., Oteri F., Cocco S., Monasson R., Weigt M. The Journal of Chemical Physics (2016)
Widder S., Allen R., Pfeiffer T., Curtis T., Wiuf C., Sloan W., Cordero O., Brown S., Momeni B., Shou W., Kettle H., Flint H., Haas A., Laroche B., Kreft J., Rainey P., Freilich S., Schuster S., Milferstedt K., van der Meer J., Groβkopf T., Huisman J., Free A., Picioreanu C., Quince C., Klapper I., Labarthe S., Smets B., Wang H., , Soyer O. The ISME Journal (2016)
Gueudré T., Baldassi C., Zamparo M., Weigt M., Pagnani A. Proceedings of the National Academy of Sciences (2016)
The LCQB laboratory is in the CNRS Journal for his project MetaSUB Paris.To the Article (Journal du CNRS)To the Article (CNRSNews)
Bernardes J., Zaverucha G., Vaquero C., Carbone A. PLOS Computational Biology (2016)
Martin Weigt co-organizes the conference “Statistical physics methods in biology and computer science”, a satellite of StatPhys2016, Ecole Normale Superieure, Paris, July 11-16, 2016. It will cover recent progress on the use of methods from statistical mechanics of disordered systems for high dimensional problems related to biology and computer science. Organizers: Simona Cocco, Florent Krzakala, Remi Monasson, Guilhem Semerjian, Martin Weigt, Lenka Zdeborova.
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