ELMO: An Efficient Logistic Regression-Based Multi-Omic Integrated Analysis Method for Breast Cancer Intrinsic Subtypes
- DOI
- 10.1109/access.2019.2960373
- Published
- 2020
- Container
- IEEE Access
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/access.2019.2960373,
title = {ELMO: An Efficient Logistic Regression-Based Multi-Omic Integrated Analysis Method for Breast Cancer Intrinsic Subtypes},
author = {Yexian Zhang and Ruoyao Shi and Chaorong Chen and Meiyu Duan and Shuai Liu and Yanjiao Ren and Lan Huang and Xiaofeng Dai and Fengfeng Zhou},
year = {2020},
journal = {IEEE Access},
doi = {10.1109/access.2019.2960373},
url = {https://doi.org/10.1109/access.2019.2960373}
}RIS
TY - JOUR TI - ELMO: An Efficient Logistic Regression-Based Multi-Omic Integrated Analysis Method for Breast Cancer Intrinsic Subtypes AU - Yexian Zhang AU - Ruoyao Shi AU - Chaorong Chen AU - Meiyu Duan AU - Shuai Liu AU - Yanjiao Ren AU - Lan Huang AU - Xiaofeng Dai AU - Fengfeng Zhou PY - 2020 JO - IEEE Access DO - 10.1109/access.2019.2960373 UR - https://doi.org/10.1109/access.2019.2960373 ER -
APA
Zhang, Y., Shi, R., Chen, C., Duan, M., Liu, S., Ren, Y., Huang, L., Dai, X., & Zhou, F. (2020). ELMO: An Efficient Logistic Regression-Based Multi-Omic Integrated Analysis Method for Breast Cancer Intrinsic Subtypes. IEEE Access. https://doi.org/10.1109/access.2019.2960373
Source records
- doaj · retrieved 2026-09-26T20:16:50.042Z