Moanna: Multi-Omics Autoencoder-Based Neural Network Algorithm for Predicting Breast Cancer Subtypes-Reference-Cited by-同舟云学术

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

Published:2023 Issue: Volume:11 Page:10912-10924
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lupat Richard¹^ORCID,Perera Rashindrie¹^ORCID,Loi Sherene¹^ORCID,Li Jason¹^ORCID

Affiliation:

1. Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia

Funder

Peter MacCallum Foundation

National Breast Cancer Foundation of Australia Endowed Chair and the Breast Cancer Research Foundation, New York, NY, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10029336.pdf?arnumber=10029336

Reference52 articles.

1. Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes

2. Chemosensitivity Predicted by BluePrint 80-Gene Functional Subtype and MammaPrint in the Prospective Neoadjuvant Breast Registry Symphony Trial (NBRST)

3. Quantification of intrinsic subtype ambiguity in Luminal A breast cancer and its relationship to clinical outcomes

4. Discordance of the PAM50 Intrinsic Subtypes Compared with Immunohistochemistry-Based Surrogate in Breast Cancer Patients: Potential Implication of Genomic Alterations of Discordance

5. A Survey on Hybrid Feature Selection Methods in Microarray Gene Expression Data for Cancer Classification

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1. TMO-Net: an explainable pretrained multi-omics model for multi-task learning in oncology;Genome Biology;2024-06-06

2. Diagnosis and Classification of Breast Cancer Using Data Visualization and Deep Learning Techniques;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

3. A Critical Analysis and Classification of Breast Cancer Using Histopathology Images;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18

4. SurvIAE: Survival prediction with Interpretable Autoencoders from Diffuse Large B-Cells Lymphoma gene expression data;Computer Methods and Programs in Biomedicine;2024-02

5. Breast Cancer Classification using Fine Needle Aspiration Test with Graphical Neural Networks in Deep Learning;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14

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