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Malika Smaïl-Tabbone
Malika Smaïl-Tabbone
Associate professor in Computer Science, Université de Lorraine, France
Verified email at loria.fr
Title
Cited by
Year
HIPPO: HIstogram-based Pseudo-POtential for scoring ssRNA-protein fragment-based docking poses
A Kravchenko, SJ de Vries, M Smaïl-Tabbone, IC de Beauchene
The 31st Annual Intelligent Systems For Molecular Biology (ISMB) and the …, 2023
2023
HIPPO: HIstogram-based Pseudo-POtential for scoring protein-ssRNA fragment-based docking poses
A Kravchenko, SJ De Vries, M Smaïl-Tabbone, IC de Beauchene
2023
Molecular-evaluated and explainable drug repurposing for COVID-19 using ensemble knowledge graph embedding
MK Islam, D Amaya-Ramirez, B Maigret, MD Devignes, S Aridhi, ...
Scientific Reports 13 (1), 3643, 2023
2023
Experiences with a training DSW knowledge model for early-stage researchers
MD Devignes, M Smaïl-Tabbone, H Dhondge, R Dolcemascolo, ...
Open Research Europe 3, 2023
2023
From quantitative SBML models to Boolean networks
A Vaginay, T Boukhobza, M Smaïl-Tabbone
Applied Network Science 7 (1), 1-23, 2022
12022
Inductive database to support iterative data mining: Application to biomarker analysis on patient data in the Fight-HF project
E Bresso, JP Ferreira, N Girerd, M Kobayashi, G Preud’homme, ...
Journal of Biomedical Informatics 135, 104212, 2022
12022
Optimizing scoring for ssRNA-protein docking models
A Kravchenko, M Smail-Tabbone, IC de Beauchene, SJ de Vries
35th RHINE-KNEE-REGIONAL MEETING ON STRUCTURAL BIOLOGY, 2022
2022
New strategy for optimizing knowledge-based docking parameters: application to ssRNA-RRM docking
A Kravchenko, M Smaïl-Tabbone, SJ de Vries, I Chauvot-de-Beauchêne
RNAct Final Conference Tailoring RNA binding proteins and RNA targeting, 2022
2022
Negative sampling and rule mining for explainable link prediction in knowledge graphs
MK Islam, S Aridhi, M Smail-Tabbone
Knowledge-Based Systems 250, 109083, 2022
52022
On the design of a similarity function for sparse binary data with application on protein function annotation
MBA Veras, B Sarker, S Aridhi, JPP Gomes, JAF Macêdo, EM Nguifo, ...
Knowledge-Based Systems 238, 107863, 2022
12022
Machine learning-derived echocardiographic phenotypes predict heart failure incidence in asymptomatic individuals
M Kobayashi, O Huttin, M Magnusson, JP Ferreira, E Bozec, AC Huby, ...
Cardiovascular Imaging 15 (2), 193-208, 2022
322022
Simple negative sampling for link prediction in knowledge graphs
MK Islam, S Aridhi, M Smaïl-Tabbone
Complex Networks & Their Applications X: Volume 2, Proceedings of the Tenth …, 2022
32022
From competition to collaboration: Ensembling similarity-based heuristics for supervised link prediction in biological graphs
MK Islam, S Aridhi, M Smail-Tabbone
International Conference on Bangabandhu and Digital Bangladesh, 121-135, 2021
2021
GPER agonist G-1 disrupts tubulin dynamics and potentiates temozolomide to impair glioblastoma cell proliferation
A Hirtz, N Lebourdais, F Rech, Y Bailly, A Vaginay, M Smaïl-Tabbone, ...
Cells 10 (12), 3438, 2021
92021
An experimental evaluation of similarity-based and embedding-based link prediction methods on graphs
MK Islam, S Aridhi, M Smail-Tabbone
International Journal of Data Mining & Knowledge Management Process 11, 1-18, 2021
12021
From quantitative SBML to boolean networks
A Vaginay, T Boukhobza, M Smaïl-Tabbone
19th conference on Computational Methods in Systems Biology, CMSB 2021, 2021
2021
Appraisal study of similarity-based and embedding-based link prediction methods on graphs
MK Islam, S Aridhi, M Smail-Tabbone
Proceedings of the 10th International Conference on Data Mining & Knowledge …, 2021
52021
New strategy for optimizing knowledge-based docking parameters: application to ssRNA-protein docking
A Kravchenko, M Smaïl-Tabbone, IC de Beauchêne, SJ de Vries
JOBIM 2021-Journées Ouvertes en Biologie, Informatique et Mathématiques, 2021
2021
PGxCorpus, a manually annotated corpus for pharmacogenomics
J Legrand, R Gogdemir, C Bousquet, K Dalleau, MD Devignes, W Digan, ...
FUNDAMENTAL & CLINICAL PHARMACOLOGY 35, 195-196, 2021
2021
Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining
E Bresso, P Monnin, C Bousquet, FE Calvier, NC Ndiaye, N Petitpain, ...
BMC medical informatics and decision making 21 (1), 171, 2021
132021
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