Breast Cancer Subtype by Imbalanced Omics Data through A Deep Learning Fusion Model-Reference-Cited by-同舟云学术

Breast Cancer Subtype by Imbalanced Omics Data through A Deep Learning Fusion Model

Published:2020-01-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 10th International Conference on Bioscience, Biochemistry and Bioinformatics
language:
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Author:

Zeng Jingwen¹,Cai Hongmin¹,Akutsu Tatsuya²

Affiliation:

1. School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

2. Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto, Japan

Funder

Science and Technology Planning Project of Guangdong Province

National Natural Science Foundation of China

the Health & Medical Collaborative Innovation Project of Guangzhou City

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3386052.3386063

Reference43 articles.

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4. Xu A. Chen J. Peng H. Han G. & Cai H. 2019. Simultaneous interrogation of cancer omics to identify subtypes with significant clinical differences. Frontiers in genetics 10 (March 2019) 236. DOI= https://doi.org/10.3389/fgene.2019.00236. Xu A. Chen J. Peng H. Han G. & Cai H. 2019. Simultaneous interrogation of cancer omics to identify subtypes with significant clinical differences. Frontiers in genetics 10 (March 2019) 236. DOI= https://doi.org/10.3389/fgene.2019.00236.

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