Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis

被引：0
|
作者：
Li Tong
Jonathan Mitchel
Kevin Chatlin
May D. Wang
机构：
[1] Georgia Institute of Technology and Emory University,Department of Biomedical Engineering
[2] Department of Biomedical Engineering,undefined
[3] Georgia Institute of Technology,undefined
来源：
BMC Medical Informatics and Decision Making | / 20卷
关键词：
Multi-omics integration; Breast Cancer; Survival analysis; Deep learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis
    Tong, Li
    Mitchel, Jonathan
    Chatlin, Kevin
    Wang, May D.
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2020, 20 (01)
  • [2] Deep learning assisted multi-omics integration for survival and drug-response prediction in breast cancer
    Malik, Vidhi
    Kalakoti, Yogesh
    Sundar, Durai
    [J]. BMC GENOMICS, 2021, 22 (01)
  • [3] Deep learning assisted multi-omics integration for survival and drug-response prediction in breast cancer
    Vidhi Malik
    Yogesh Kalakoti
    Durai Sundar
    [J]. BMC Genomics, 22
  • [4] Deep Learning-Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer
    Chaudharyl, Kumardeep
    Poirionl, Olivier B.
    Lu, Liangqun
    Garmire, Lana X.
    [J]. CLINICAL CANCER RESEARCH, 2018, 24 (06) : 1248 - 1259
  • [5] Deep Learning for Integrated Analysis of Breast Cancer Subtype Specific Multi-omics Data
    Rakshit, Somnath
    Saha, Indrajit
    Chakraborty, Subha Shankar
    Plewczyski, Dariusz
    [J]. PROCEEDINGS OF TENCON 2018 - 2018 IEEE REGION 10 CONFERENCE, 2018, : 1917 - 1922
  • [6] A Translational Pipeline for Overall Survival Prediction of Breast Cancer Patients by Decision-Level Integration of Multi-Omics Data
    Mitchel, Jonathan
    Chatlin, Kevin
    Tong, Li
    Wang, May D.
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2019, : 1573 - 1580
  • [7] Breast Cancer Recurrence Risk Predictor Using a Deep Learning Multi-omics Data Integration Framework
    Rahman, Ariana
    Zhang, Yining
    Park, Jin G.
    [J]. 2023 IEEE 36TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, CBMS, 2023, : 921 - 922
  • [8] Machine learning for multi-omics data integration in cancer
    Cai, Zhaoxiang
    Poulos, Rebecca C.
    Liu, Jia
    Zhong, Qing
    [J]. ISCIENCE, 2022, 25 (02)
  • [9] A roadmap for multi-omics data integration using deep learning
    Kang, Mingon
    Ko, Euiseong
    Mersha, Tesfaye B.
    [J]. BRIEFINGS IN BIOINFORMATICS, 2022, 23 (01)
  • [10] Multi-omics integration analysis unveils heterogeneity in breast cancer at the individual level
    Zhao, Zhangxiang
    Jin, Tongzhu
    Chen, Bo
    Dong, Qi
    Liu, Mingyue
    Guo, Jiayu
    Song, Xiaoying
    Li, Yawei
    Chen, Tingting
    Han, Huiming
    Liang, Haihai
    Gu, Yunyan
    [J]. CELL CYCLE, 2023, 22 (20) : 2229 - 2244
12345