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

V Bourgeais, F Zehraoui, M Ben Hamdoune… - BMC …, 2021 - Springer
Background With the rapid advancement of genomic sequencing techniques, massive
production of gene expression data is becoming possible, which prompts the development …

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

V Bourgeais, F Zehraoui, MB Hamdoune, B Hanczar - 2021 - agris.fao.org
Background With the rapid advancement of genomic sequencing techniques, massive
production of gene expression data is becoming possible, which prompts the development …

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

V Bourgeais, F Zehraoui… - BMC …, 2021 - pubmed.ncbi.nlm.nih.gov
Background With the rapid advancement of genomic sequencing techniques, massive
production of gene expression data is becoming possible, which prompts the development …

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

V Bourgeais, F Zehraoui, MB Hamdoune… - BMC …, 2021 - search.proquest.com
Background With the rapid advancement of genomic sequencing techniques, massive
production of gene expression data is becoming possible, which prompts the development …

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

V Bourgeais, F Zehraoui, MB Hamdoune… - BMC …, 2021 - inria.hal.science
Background: With the rapid advancement of genomic sequencing techniques, massive
production of gene expression data is becoming possible, which prompts the development …

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

V Bourgeais, F Zehraoui, MB Hamdoune… - 19th Asia Pacific …, 2021 - hal.science
Background: With the rapid advancement of genomic sequencing techniques, massive
production of gene expression data is becoming possible, which prompts the development …

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

V Bourgeais, F Zehraoui, B Hamdoune… - BMC …, 2021 - europepmc.org
Background With the rapid advancement of genomic sequencing techniques, massive
production of gene expression data is becoming possible, which prompts the development …

[PDF][PDF] Deep GONet: self‑explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data

V Bourgeais, F Zehraoui, MB Hamdoune, B Hanczar - 2021 - scholar.archive.org
Background: With the rapid advancement of genomic sequencing techniques, massive
production of gene expression data is becoming possible, which prompts the development …

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

V Bourgeais, F Zehraoui, MB Hamdoune… - BMC …, 2021 - univ-evry.hal.science
Background: With the rapid advancement of genomic sequencing techniques, massive
production of gene expression data is becoming possible, which prompts the development …

[PDF][PDF] Deep GONet: Self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data

V Bourgeais, F Zehraoui, MB Hamdoune, B Hanczar - cap2021.sciencesconf.org
Background: With the rapid advancement of genomic sequencing techniques, massive
production of gene expression data is becoming possible, which prompts the development …