ELMO: An Efficient Logistic Regression-Based Multi-Omic Integrated Analysis Method for Breast Cancer Intrinsic Subtypes

ELMO: An Efficient Logistic Regression-Based Multi-Omic Integrated Analysis Method for Breast Cancer Intrinsic Subtypes

Breast cancer is one of the most frequently occurring female cancer types and represents a major cause of death among women worldwide. Breast cancer is heterogeneous in both molecular characteristics and clinical outcomes for its different molecular subtypes. High-throughput technologies facilitated...

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Bibliographic Details
Main Authors: Yexian Zhang, Ruoyao Shi, Chaorong Chen, Meiyu Duan, Shuai Liu, Yanjiao Ren, Lan Huang, Xiaofeng Dai, Fengfeng Zhou
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Breast cancer
intrinsic subtypes
multi-omics
feature selection
Online Access:https://ieeexplore.ieee.org/document/8935338/

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