Robust pathway-based multi-omics data integration using directed random walks for survival prediction in multiple cancer studies

被引:0
|
作者
So Yeon Kim
Hyun-Hwan Jeong
Jaesik Kim
Jeong-Hyeon Moon
Kyung-Ah Sohn
机构
[1] Ajou University,Department of Computer Engineering
[2] Baylor College of Medicine,Department of Molecular and Human Genetics
[3] Texas Children’s Hospital,Jan and Dan Duncan Neurological Research Institute
来源
Biology Direct | / 14卷
关键词
Multi-omics; Integrative analysis; Random walk; Pathway-based analysis; Breast cancer; Neuroblastoma;
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 23 条
  • [1] Robust pathway-based multi-omics data integration using directed random walks for survival prediction in multiple cancer studies
    Kim, So Yeon
    Jeong, Hyun-Hwan
    Kim, Jaesik
    Moon, Jeong-Hyeon
    Sohn, Kyung-Ah
    BIOLOGY DIRECT, 2019, 14 (1)
  • [2] Topological integration of RPPA proteomic data with multi-omics data for survival prediction in breast cancer via pathway activity inference
    Kim, Tae Rim
    Jeong, Hyun-Hwan
    Sohn, Kyung-Ah
    BMC MEDICAL GENOMICS, 2019, 12 (Suppl 5)
  • [3] Topological integration of RPPA proteomic data with multi-omics data for survival prediction in breast cancer via pathway activity inference
    Tae Rim Kim
    Hyun-Hwan Jeong
    Kyung-Ah Sohn
    BMC Medical Genomics, 12
  • [4] 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.
    2019 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2019, : 1573 - 1580
  • [5] Improving prediction performance of colon cancer prognosis based on the integration of clinical and multi-omics data
    Tong, Danyang
    Tian, Yu
    Zhou, Tianshu
    Ye, Qiancheng
    Li, Jun
    Ding, Kefeng
    Li, Jingsong
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2020, 20 (01)
  • [6] Improving prediction performance of colon cancer prognosis based on the integration of clinical and multi-omics data
    Danyang Tong
    Yu Tian
    Tianshu Zhou
    Qiancheng Ye
    Jun Li
    Kefeng Ding
    Jingsong Li
    BMC Medical Informatics and Decision Making, 20
  • [7] Survival stratification for colorectal cancer via multi-omics integration using an autoencoder-based model
    Song, Hu
    Ruan, Chengwei
    Xu, Yixin
    Xu, Teng
    Fan, Ruizhi
    Jiang, Tao
    Cao, Meng
    Song, Jun
    EXPERIMENTAL BIOLOGY AND MEDICINE, 2022, 247 (11) : 898 - 909
  • [8] Pathway-based integration of multi-omics data reveals lipidomics alterations validated in an Alzheimer's disease mouse model and risk loci carriers
    Garcia-Segura, Monica Emili
    Durainayagam, Brenan R.
    Liggi, Sonia
    Graca, Goncalo
    Jimenez, Beatriz
    Dehghan, Abbas
    Tzoulaki, Ioanna
    Karaman, Ibrahim
    Elliott, Paul
    Griffin, Julian L.
    JOURNAL OF NEUROCHEMISTRY, 2023, 164 (01) : 57 - 76
  • [9] Breast Cancer Recurrence Risk Predictor Using a Deep Learning Multi-omics Data Integration Framework
    Rahman, Ariana
    Zhang, Yining
    Park, Jin G.
    2023 IEEE 36TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, CBMS, 2023, : 921 - 922
  • [10] Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis
    Li Tong
    Jonathan Mitchel
    Kevin Chatlin
    May D. Wang
    BMC Medical Informatics and Decision Making, 20