Výsledky vyhledávání - "Mohamed Ben Hamdoune"

Akademický článek

Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data

Autor: Victoria Bourgeais, Farida Zehraoui, Mohamed Ben Hamdoune, Blaise Hanczar

Publikováno v: BMC Bioinformatics, Vol 22, Iss S10, Pp 1-25 (2021)

Abstract Background With the rapid advancement of genomic sequencing techniques, massive production of gene expression data is becoming possible, which prompts the development of precision medicine. Deep learning is a promising approach for phenotype

Externí odkaz: https://doaj.org/article/23205e129b944739ab9be3fcd73ed5cd

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Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data

Autor: Victoria Bourgeais, Farida Zehraoui, Mohamed Ben Hamdoune, Blaise Hanczar

Publikováno v: HAL
Conférence sur l’Apprentissage automatique (CAp 2021)
Conférence sur l’Apprentissage automatique (CAp 2021), Jun 2021, Saint-Etienne, France
19th Asia Pacific Bioinformatics Conference (APBC 2021)
19th Asia Pacific Bioinformatics Conference (APBC 2021), Feb 2021, Tainan, Taiwan
BMC Bioinformatics
BMC Bioinformatics, BioMed Central, 2021, 22 (S10), pp.455. ⟨10.1186/s12859-021-04370-7⟩
BMC Bioinformatics, Vol 22, Iss S10, Pp 1-25 (2021)
BMC Bioinformatics, 2021, 22 (S10), pp.455. ⟨10.1186/s12859-021-04370-7⟩

International audience; Abstract Background With the rapid advancement of genomic sequencing techniques, massive production of gene expression data is becoming possible, which prompts the development of precision medicine. Deep learning is a promisin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::7ea42a8c18943c3e3b6afdc8fdf937c7
https://hal.archives-ouvertes.fr/hal-03739478

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