Moanna: Multi-Omics Autoencoder-Based Neural Network Algorithm for Predicting Breast Cancer Subtypes

Moanna: Multi-Omics Autoencoder-Based Neural Network Algorithm for Predicting Breast Cancer Subtypes

Cancer subtyping delivers valuable insights into the study of cancer heterogeneity and fulfills an essential step toward personalized medicine. For example, studies in breast cancer have shown that cancer subtypes based on molecular differences are associated with different patient survival and trea...

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Bibliographic Details
Main Authors: Richard Lupat, Rashindrie Perera, Sherene Loi, Jason Li
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Feature extraction
cancer subtyping
artificial neural networks
machine learning
classification algorithms
cancer genomics
Online Access:https://ieeexplore.ieee.org/document/10029336/

Internet

https://ieeexplore.ieee.org/document/10029336/

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