Convolutional neural network for biomarker discovery for triple negative breast cancer with RNA sequencing data-Reference-Cited by-同舟云学术

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Convolutional neural network for biomarker discovery for triple negative breast cancer with RNA sequencing data

Published:2023-04 Issue:4 Volume:9 Page:e14819
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Chen Xiangning^ORCID,Balko Justin M.,Ling Fei,Jin Yabin,Gonzalez Anneliese^ORCID,Zhao Zhongming,Chen Jingchun

Funder

National Institutes of Health

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference45 articles.

1. Dissecting the heterogeneity of triple-negative breast cancer;Metzger-Filho;J. Clin. Oncol.,2012

2. Biology, metastatic patterns, and treatment of patients with triple-negative breast cancer;Anders;Clin. Breast Cancer,2009

3. Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies;Lehmann;J. Clin. Invest.,2011

4. Comprehensive genomic analysis identifies novel subtypes and targets of triple-negative breast cancer;Burstein;Clin. Cancer Res.,2015

5. Molecular alterations in triple-negative breast cancer-the road to new treatment strategies;Denkert;Lancet,2017

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advanced AI Applications for Drug Discovery;Advances in Medical Technologies and Clinical Practice;2024-06-07

2. Hybrid Machine Learning Classification for Tipple Negative Breast Cancer;2023 11th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC);2023-12-18

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