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
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 50 条
  • [41] Identification of ovarian cancer driver genes by using module network integration of multi-omics data
    Gevaert, Olivier
    Villalobos, Victor
    Sikic, Branimir I.
    Plevritis, Sylvia K.
    INTERFACE FOCUS, 2013, 3 (04)
  • [42] Identification of ovarian cancer driver genes by using module network integration of multi-omics data
    Gevaert, Olivier
    Villalobos, Victor
    Sikic, Branimir I.
    Plevritis, Sylvia K.
    INTERFACE FOCUS, 2014, 4 (03)
  • [43] Integrating multi-omics data by learning modality invariant representations for improved prediction of overall survival of cancer
    Tong, Li
    Wu, Hang
    Wang, May D.
    METHODS, 2021, 189 : 74 - 85
  • [44] Multi-omics data integration and drug screening of AML cancer using Generative Adversarial Network
    Afroz, Sabrin
    Islam, Nadira
    Habib, Md Ahsan
    Reza, Md Selim
    Alam, Md Ashad
    METHODS, 2024, 226 : 138 - 150
  • [45] Predicting Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Machine Learning Techniques
    Takahashi, Satoshi
    Asada, Ken
    Takasawa, Ken
    Shimoyama, Ryo
    Sakai, Akira
    Bolatkan, Amina
    Shinkai, Norio
    Kobayashi, Kazuma
    Komatsu, Masaaki
    Kaneko, Syuzo
    Sese, Jun
    Hamamoto, Ryuji
    CANCER SCIENCE, 2022, 113 : 874 - 874
  • [46] Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction
    Kim, Dokyoon
    Joung, Je-Gun
    Sohn, Kyung-Ah
    Shin, Hyunjung
    Park, Yu Rang
    Ritchie, Marylyn D.
    Kim, Ju Han
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2015, 22 (01) : 109 - 120
  • [47] Enhancing Non-Small Cell Lung Cancer Survival Prediction through Multi-Omics Integration Using Graph Attention Network
    Elbashir, Murtada K.
    Almotilag, Abdullah
    Mahmood, Mahmood A.
    Mohammed, Mohanad
    DIAGNOSTICS, 2024, 14 (19)
  • [48] A Multi-Omics Database Using Clinical Trial Data for Rectal Cancer Radiotherapy Outcome Prediction
    Shen, Zhuoyan
    Brand, Douglas
    Simard, Mikael
    Zhang, Ying
    Royle, Gary
    Lopes, Andre
    Begum, Rubina
    West, Nicholas
    Appelt, Ane
    Gilbert, Alexandra
    Miles, Elizabeth
    Maughan, Tim
    Sebag-Montefiore, David
    Collins-Fekete, Charles-Antoine
    Hawkins, Maria A.
    RADIOTHERAPY AND ONCOLOGY, 2024, 194 : S4463 - S4466
  • [49] Identification of a 6-gene signature for the survival prediction of breast cancer patients based on integrated multi-omics data analysis
    Mo, Wenju
    Ding, Yuqin
    Zhao, Shuai
    Zou, Dehong
    Ding, Xiaowen
    PLOS ONE, 2020, 15 (11):
  • [50] Robust Prognostic Subtyping of Muscle-Invasive Bladder Cancer Revealed by Deep Learning-Based Multi-Omics Data Integration
    Zhang, Xiaolong
    Wang, Jiayin
    Lu, Jiabin
    Su, Lili
    Wang, Changxi
    Huang, Yuhua
    Zhang, Xuanping
    Zhu, Xiaoyan
    FRONTIERS IN ONCOLOGY, 2021, 11