Discriminating physiological from non-physiological interfaces in structures of protein complexes: a community-wide study

Autor: Hugo Schweke, Qifang Xu, Gerardo Tauriello, Lorenzo Pantolini, Torsten Schwede, Frédéric Cazals, Alix Lhéritier, Juan Fernandez-Recio, Luis Ángel Rodríguez-Lumbreras, Ora Schueler-Furman, Julia K. Varga, Brian Jiménez-García, Manon F. Réau, Alexandre Bonvin, Castrense Savojardo, Pier-Luigi Martelli, Rita Casadio, Jérôme Tubiana, Haim Wolfson, Romina Oliva, Didier Barradas-Bautista, Tiziana Ricciardelli, Luigi Cavallo, Česlovas Venclovas, Kliment Olechnovič, Raphael Guerois, Jessica Andreani, Juliette Martin, Xiao Wang, Daisuke Kihara, Anthony Marchand, Bruno Correia, Xiaoqin Zou, Sucharita Dey, Roland Dunbrack, Emmanuel Levy, Shoshana Wodak

Reliably scoring and ranking candidate models of protein complexes and assigning their oligomeric state from the structure of the crystal lattice represent outstanding challenges. A community-wide effort was launched to tackle these challenges. The l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::adaf2d977a6fae24f92d44626aa47f9a
https://doi.org/10.22541/au.167569565.51141128/v1

Price elasticity estimation for deep learning-based choice models: an application to air itinerary choices

Autor: Alix Lhéritier, Eoin Thomas, Rodrigo Acuna-Agost

Publikováno v: Journal of Revenue and Pricing Management. 20:213-226

One of the most popular approaches to model choices in the airline industry is the multinomial logit (MNL) model and its variations because it has key properties for businesses: acceptable accuracy and high interpretability. On the other hand, recent

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d95d5648025e75a1ddf88545d669d73e
https://doi.org/10.1057/s41272-021-00308-z

A Sequential Non-Parametric Multivariate Two-Sample Test

Autor: Frédéric Cazals, Alix Lhéritier

Publikováno v: IEEE Transactions on Information Theory
IEEE Transactions on Information Theory, Institute of Electrical and Electronics Engineers, 2018, 64 (5), pp.3361-3370
IEEE Transactions on Information Theory, 2018, 64 (5), pp.3361-3370

Given samples from two distributions, a non-parametric two-sample test aims at determining whether the two distributions are equal or not, based on a test statistic. Classically, this statistic is computed on the whole data set, or is computed on a s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f77fd03fea0c35629792b437fe864553
https://hal.inria.fr/hal-01968190

Beyond two-sample-tests: Localizing data discrepancies in high-dimensional spaces

Autor: Frederic Cazais, Alix Lhéritier

Publikováno v: DSAA
[Research Report] RR-8734, Inria. 2015, pp.29
IEEE/ACM International Conference on Data Science and Advanced Analytics
IEEE/ACM International Conference on Data Science and Advanced Analytics, Oct 2015, Paris, France. pp.29
2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA)
DSAA 2022-IEEE/ACM International Conference on Data Science and Advanced Analytics
DSAA 2022-IEEE/ACM International Conference on Data Science and Advanced Analytics, Oct 2015, Paris, France. pp.29, ⟨10.1109/DSAA.2015.7344835⟩

International audience; Comparing two sets of multivariate samples is a central problem in data analysis. From a statisticalstandpoint, the simplest way to perform such a comparison is to resort to a non-parametric two-sampletest (TST), which checks

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a15f0cbfda12f3fa779437914d31e04
https://doi.org/10.1109/dsaa.2015.7344835