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

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

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 prediction (clinical diagnosis, prognosis, and dr...

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Bibliographic Details
Main Authors: Victoria Bourgeais, Farida Zehraoui, Mohamed Ben Hamdoune, Blaise Hanczar
Format: Article
Language:English
Published: BMC 2021-09-01
Series:BMC Bioinformatics
Subjects:
Gene expression
Phenotype prediction
Model interpretation
Deep learning
Gene Ontology
Online Access:https://doi.org/10.1186/s12859-021-04370-7

Internet

https://doi.org/10.1186/s12859-021-04370-7

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