Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Malika Smail-Tabbone"'
Autor:
Clémence Chamard-Jovenin, Charlène Thiebaut, Amand Chesnel, Emmanuel Bresso, Chloé Morel, Malika Smail-Tabbone, Marie-Dominique Devignes, Taha Boukhobza, Hélène Dumond
Publikováno v:
Frontiers in Endocrinology, Vol 8 (2017)
Fetal and neonatal exposure to long-chain alkylphenols has been suspected to promote breast developmental disorders and consequently to increase breast cancer risk. However, disease predisposition from developmental exposures remains unclear. In this
Externí odkaz:
https://doaj.org/article/aa6ed05746ef4d8bb74e87c459657491
Publikováno v:
Knowledge-Based Systems
Knowledge-Based Systems, 2022, 250, pp.109083. ⟨10.1016/j.knosys.2022.109083⟩
Knowledge-Based Systems, 2022, 250, pp.109083. ⟨10.1016/j.knosys.2022.109083⟩
International audience; Several KG embedding methods were proposed to learn low dimensional vector representations of entities and relations of a KG. Such representations facilitate the link prediction task, in the service of inference and KG complet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::857ac8842f92860b19175a9c604e6865
https://hal.science/hal-03684205/document
https://hal.science/hal-03684205/document
Publikováno v:
Bangabandhu and Digital Bangladesh ISBN: 9783031171802
International Conference on Bangabandhu and Digital Bangladesh 2021
International Conference on Bangabandhu and Digital Bangladesh 2021, Dec 2021, Dhaka, Bangladesh. pp.121-135, ⟨10.1007/978-3-031-17181-9_10⟩
International Conference on Bangabandhu and Digital Bangladesh 2021
International Conference on Bangabandhu and Digital Bangladesh 2021, Dec 2021, Dhaka, Bangladesh. pp.121-135, ⟨10.1007/978-3-031-17181-9_10⟩
International audience; Link prediction is a fundamental problem in the field of graph mining. The aim of link prediction is to infer/discover unobserved links in graphs. Link prediction in biological graphs is highly challenging. There exist many si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5fd2b574ce44c87b8ef5534bf7d0886
https://doi.org/10.1007/978-3-031-17181-9_10
https://doi.org/10.1007/978-3-031-17181-9_10
Publikováno v:
Studies in Computational Intelligence
The 10th International Conference on Complex Networks and their Applications
The 10th International Conference on Complex Networks and their Applications, Nov 2021, Madrid, Spain. pp.549-562, ⟨10.1007/978-3-030-93413-2_46⟩
Complex Networks & Their Applications X ISBN: 9783030934125
The 10th International Conference on Complex Networks and their Applications
The 10th International Conference on Complex Networks and their Applications, Nov 2021, Madrid, Spain. pp.549-562, ⟨10.1007/978-3-030-93413-2_46⟩
Complex Networks & Their Applications X ISBN: 9783030934125
International audience; Knowledge graph (KG) embedding methods learn the low dimensional vector representations of entities and relations of a knowledge graph, facilitating the link prediction task in knowledge graphs. During learning of embeddings,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a17ad59eded07c81f58c0fe18f348f7f
https://hal.science/hal-03540341/document
https://hal.science/hal-03540341/document
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-22 (2024)
Abstract Background The RNA-Recognition motif (RRM) is a protein domain that binds single-stranded RNA (ssRNA) and is present in as much as 2% of the human genome. Despite this important role in biology, RRM-ssRNA interactions are very challenging to
Externí odkaz:
https://doaj.org/article/1cf33603b42046d0ba4075cf4dc21d18
Autor:
Md Kamrul Islam, Diego Amaya-Ramirez, Bernard Maigret, Marie-Dominique Devignes, Sabeur Aridhi, Malika Smaïl-Tabbone
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract The search for an effective drug is still urgent for COVID-19 as no drug with proven clinical efficacy is available. Finding the new purpose of an approved or investigational drug, known as drug repurposing, has become increasingly popular i
Externí odkaz:
https://doaj.org/article/65077424b56b4cf3bd467c7bf324fdcb
Publikováno v:
Applied Network Science, Vol 7, Iss 1, Pp 1-23 (2022)
Abstract Modelling complex biological systems is necessary for their study and understanding. Biomodels is a repository of peer-reviewed models represented in the Systems Biology Markup Language (SBML). Most of these models are quantitative, but in s
Externí odkaz:
https://doaj.org/article/8946ddc099ec4f9db520106c651e1ed9
Autor:
R. Anahí Higuera-Rodriguez, Jose Gavaldá-García, Joel Roca Martínez, Anna Kravchenko, Anna Pérez-Ràfols, Niki Messini, Luca Sperotto, Guillermo Pérez Ropero, Wim Vranken, Isaure Chauvot de Beauchêne, Malika Smaïl-Tabbone, Marie-Dominique Devignes, Roswitha Dolcemascolo, Hrishikesh Dhondge
Publikováno v:
Open Research Europe, Vol 3 (2023)
Background: Data management is fast becoming an essential part of scientific practice, driven by open science and FAIR (findable, accessible, interoperable, and reusable) data sharing requirements. Whilst data management plans (DMPs) are clear to dat
Externí odkaz:
https://doaj.org/article/73eea1d6b306467e96567818d77c5b5c
Autor:
Amedeo Napoli, Marie-Dominique Devignes, Sidahmed Benabderrahmane, Malika Smail Tabbone, Olivier Poch
Publikováno v:
BIBM Workshops
The Second Workshop on Integrative Data Analysis in Systems Biology-IDASB'11
The second workshop on Integrative Data in Systems Biology held in conjunction with the IEEE BIBM 2011 conference
The second workshop on Integrative Data in Systems Biology held in conjunction with the IEEE BIBM 2011 conference, Nov 2011, Atlanta, United States
The Second Workshop on Integrative Data Analysis in Systems Biology-IDASB'11
The second workshop on Integrative Data in Systems Biology held in conjunction with the IEEE BIBM 2011 conference
The second workshop on Integrative Data in Systems Biology held in conjunction with the IEEE BIBM 2011 conference, Nov 2011, Atlanta, United States
Functional classification involves grouping genes according to their molecular functions or the biological processes they participate in. This unsupervised classification task is essential for interpreting gene datasets produced by post-genomic exper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73c2ccf3a748b3085e4ff8fd2c76c2ae
https://doi.org/10.1109/bibmw.2011.6112375
https://doi.org/10.1109/bibmw.2011.6112375
Autor:
Emmanuel Bresso, Pierre Monnin, Cédric Bousquet, François-Elie Calvier, Ndeye-Coumba Ndiaye, Nadine Petitpain, Malika Smaïl-Tabbone, Adrien Coulet
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-14 (2021)
Abstract Background Adverse drug reactions (ADRs) are statistically characterized within randomized clinical trials and postmarketing pharmacovigilance, but their molecular mechanism remains unknown in most cases. This is true even for hepatic or ski
Externí odkaz:
https://doaj.org/article/54ff280258a0420e90d996ad964ff1c1