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Farida Zehraoui

Showing results (1-10 of 17) with videos related to

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BMC Bioinformatics|July 5, 2022
Assessment of deep learning and transfer learning for cancer prediction based on gene expression dataBlaise Hanczar, Victoria Bourgeais, Farida Zehraoui
Plos One|July 18, 2024
Biobjective gradient descent for feature selection on high dimension, low sample size dataTina Issa, Eric Angel, Farida Zehraoui
Bioinformatics (Oxford, England)|March 10, 2022
GraphGONet: a self-explaining neural network encapsulating the Gene Ontology graph for phenotype prediction on gene expressionVictoria Bourgeais, Farida Zehraoui, Blaise Hanczar
Plos One|May 25, 2023
A3SOM, abstained explainable semi-supervised neural network based on self-organizing mapConstance Creux, Farida Zehraoui, Blaise Hanczar, et al.
Bioinformatics (Oxford, England)|May 13, 2025
CrossAttOmics: multiomics data integration with cross-attentionAurélien Beaude, Franck Augé, Farida Zehraoui, et al.
Bioinformatics (Oxford, England)|February 1, 2025
MMnc: multi-modal interpretable representation for non-coding RNA classification and class annotationConstance Creux, Farida Zehraoui, François Radvanyi, et al.
BMC Bioinformatics|November 5, 2020
Biological interpretation of deep neural network for phenotype prediction based on gene expressionBlaise Hanczar, Farida Zehraoui, Tina Issa, et al.
Plos Computational Biology|September 12, 2024
Comparison and benchmark of deep learning methods for non-coding RNA classificationConstance Creux, Farida Zehraoui, François Radvanyi, et al.
Bioinformatics (Oxford, England)|November 14, 2018
IRSOM, a reliable identifier of ncRNAs based on supervised self-organizing maps with rejectionLudovic Platon, Farida Zehraoui, Abdelhafid Bendahmane, et al.
BMC Bioinformatics|September 23, 2021
Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression dataVictoria Bourgeais, Farida Zehraoui, Mohamed Ben Hamdoune, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
BMC Bioinformatics|July 5, 2022
Assessment of deep learning and transfer learning for cancer prediction based on gene expression dataBlaise Hanczar, Victoria Bourgeais, Farida Zehraoui
Plos One|July 18, 2024
Biobjective gradient descent for feature selection on high dimension, low sample size dataTina Issa, Eric Angel, Farida Zehraoui
Bioinformatics (Oxford, England)|March 10, 2022
GraphGONet: a self-explaining neural network encapsulating the Gene Ontology graph for phenotype prediction on gene expressionVictoria Bourgeais, Farida Zehraoui, Blaise Hanczar
Plos One|May 25, 2023
A3SOM, abstained explainable semi-supervised neural network based on self-organizing mapConstance Creux, Farida Zehraoui, Blaise Hanczar, et al.
Bioinformatics (Oxford, England)|May 13, 2025
CrossAttOmics: multiomics data integration with cross-attentionAurélien Beaude, Franck Augé, Farida Zehraoui, et al.
Bioinformatics (Oxford, England)|February 1, 2025
MMnc: multi-modal interpretable representation for non-coding RNA classification and class annotationConstance Creux, Farida Zehraoui, François Radvanyi, et al.
BMC Bioinformatics|November 5, 2020
Biological interpretation of deep neural network for phenotype prediction based on gene expressionBlaise Hanczar, Farida Zehraoui, Tina Issa, et al.
Plos Computational Biology|September 12, 2024
Comparison and benchmark of deep learning methods for non-coding RNA classificationConstance Creux, Farida Zehraoui, François Radvanyi, et al.
Bioinformatics (Oxford, England)|November 14, 2018
IRSOM, a reliable identifier of ncRNAs based on supervised self-organizing maps with rejectionLudovic Platon, Farida Zehraoui, Abdelhafid Bendahmane, et al.
BMC Bioinformatics|September 23, 2021
Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression dataVictoria Bourgeais, Farida Zehraoui, Mohamed Ben Hamdoune, et al.
Pageof 2