A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data

A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data

Abstract Background There is an increasing interest in the use of Deep Learning (DL) based methods as a supporting analytical framework in oncology. However, most direct applications of DL will deliver models with limited transparency and explainability, which constrain their deployment in biomedica...

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Bibliographic Details
Main Authors: Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, Dónal Landers, André Freitas
Format: Article
Language:English
Published: BMC 2023-05-01
Series:BMC Bioinformatics
Subjects:
Multi-omics Data
Cancer Genomics
Deep Learning
Explainable AI
Graph Neural Networks
Sparse Neural Networks
Online Access:https://doi.org/10.1186/s12859-023-05262-8

Internet

https://doi.org/10.1186/s12859-023-05262-8

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