Výsledky vyhledávání - "Yartseva Anastasia"

Akademický článek

Incremental and unifying modelling formalism for biological interaction networks

Autor: Képès François, Devillers Raymond, Klaudel Hanna, Yartseva Anastasia

Publikováno v: BMC Bioinformatics, Vol 8, Iss 1, p 433 (2007)

Abstract Background An appropriate choice of the modeling formalism from the broad range of existing ones may be crucial for efficiently describing and analyzing biological systems. Results We propose a new unifying and incremental formalism for the

Externí odkaz: https://doaj.org/article/de1f585e342d415cbd0cb8667cb72c2e

Zobrazit plný text záznamu

Report

L1 logistic regression as a feature selection step for training stable classification trees for the prediction of severity criteria in imported malaria

Autor: Talenti, Luca, Luck, Margaux, Yartseva, Anastasia, Argy, Nicolas, Houzé, Sandrine, Damon, Cecilia

Multivariate classification methods using explanatory and predictive models are necessary for characterizing subgroups of patients according to their risk profiles. Popular methods include logistic regression and classification trees with performance

Externí odkaz: http://arxiv.org/abs/1511.06663

Zobrazit plný text záznamu

Akademický článek

Model of interactions in biology and application to heterogeneous network in yeast

Autor: Smidtas, Serge, Yartseva, Anastasia, Schächter, Vincent, Képès, François

Publikováno v: In Comptes rendus - Biologies 2006 329(12):945-952

Zobrazit plný text záznamu

Akademický článek

Incremental and unifying modelling formalism for biological interaction networks.

Autor: Yartseva, Anastasia¹ iartseva@gmail.com, Klaudel, Hanna¹ Hanna.Klaudel@ibisc.fr, Devillers, Raymond² rdevil@ulb.ac.be, Képès, François³ Francois.Kepes@epigenomique.genopole.fr

Publikováno v: BMC Bioinformatics. 2007 Supplement 2, Vol. 8, p433-457. 25p.

Zobrazit plný text záznamu

Akademický článek

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Dissertation/ Thesis

Modélisation incrémentale des réseaux biologiques.

Autor: Yartseva, Anastasia

Le domaine scientifique de la Biologie des Systèmes étudie les interactions entre les composantes d'un système biologique afin d'en comprendre son fonctionnement global. Au cours de cette these, nous avons d'abord utilisé des graphes simples. Cet

Externí odkaz: http://tel.archives-ouvertes.fr/tel-00420568
http://tel.archives-ouvertes.fr/docs/00/42/05/68/PDF/2007EVRY0025.pdf

Zobrazit plný text záznamu

Translation into Petri Nets of Biological Networks Represented in MIN formalism

Autor: Yartseva, Anastasia, Klaudel, Hanna, Devillers, Raymond, Képès, François

Publikováno v: European Conference on Complex Systems (ECCS 2007)
European Conference on Complex Systems (ECCS 2007), 2007, Germany. pp.203--205

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::54a078c0981eada06b4353b8c316eb68
https://hal.science/hal-00340496

Zobrazit plný text záznamu

Incremental modelling of biological networks

Autor: Yartseva, Anastasia

Publikováno v: Sciences du Vivant [q-bio]. Université d'Evry-Val d'Essonne, 2007. Français

The scientific domain of the Systems Biology studies the interactions between the components of a biological system in order to understand its functioning as a whole. In this thesis, we first used searched to apprehend how a biological network, model

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fd28b2b026dcc31ea48e5a6fadc3c4f4
https://theses.hal.science/tel-00420568

Zobrazit plný text záznamu

Views on the choice of simulation tools, compared in the context of the same model: the bacteriophage Lambda

Autor: Yartseva, Anastasia, Mestivier, Denis, Boëlle, Pierre-Yves, Richard, Adrien, Hutzler, Guillaume

Publikováno v: Complexity Advanced Course: From functional genomics to molecular networks and back, \'Evry, France
Complexity Advanced Course: From functional genomics to molecular networks and back, \'Evry, France, 2005, France
Complexity Advanced Course: From functional genomics to molecular networks and back
Complexity Advanced Course: From functional genomics to molecular networks and back, 2005, Evry, France

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5d1eb04d92080aedeaf0fa6b3559977f
https://hal.archives-ouvertes.fr/hal-00343068

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání