Multiplex methods provide effective integration of multi-omic data in genome-scale models

被引:0
|
作者
Claudio Angione
Max Conway
Pietro Lió
机构
[1] School of Computing - Teesside University,
[2] Computer Laboratory - University of Cambridge,undefined
来源
关键词
Genome-scale models; Multiplex networks; Multi-omics; Network fusion; Transcriptomics; Fluxomics; Flux balance analysis;
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
  • [21] Data integration pipeline for the reconstruction of context-specific genome-scale models
    Walakira, A.
    Rozman, D.
    Rezen, T.
    Mraz, M.
    Moskon, M.
    FEBS OPEN BIO, 2021, 11 : 358 - 359
  • [22] Guided extraction of genome-scale metabolic models for the integration and analysis of omics data
    Walakira A.
    Rozman D.
    Režen T.
    Mraz M.
    Moškon M.
    Computational and Structural Biotechnology Journal, 2021, 19 : 3521 - 3530
  • [23] The pearl oyster Pinctada fucata martensii genome and multi-omic analyses provide insights into biomineralization
    Du, Xiaodong
    Fan, Guangyi
    Jiao, Yu
    Zhang, He
    Guo, Ximing
    Huang, Ronglian
    Zheng, Zhe
    Bian, Chao
    Deng, Yuewen
    Wang, Qingheng
    Wang, Zhongduo
    Liang, Xinming
    Liang, Haiying
    Shi, Chengcheng
    Zhao, Xiaoxia
    Sun, Fengming
    Hao, Ruijuan
    Bai, Jie
    Liu, Jialiang
    Chen, Wenbin
    Liang, Jinlian
    Liu, Weiqing
    Xu, Zhe
    Shi, Qiong
    Xu, Xun
    Zhang, Guofan
    Liu, Xin
    GIGASCIENCE, 2017, 6 (08):
  • [24] MOTA: Network-Based Multi-Omic Data Integration for Biomarker Discovery
    Fan, Ziling
    Zhou, Yuan
    Ressom, Habtom W.
    METABOLITES, 2020, 10 (04)
  • [25] Uncovering the mesendoderm gene regulatory network through multi-omic data integration
    Jansen, Camden
    Paraiso, Kitt D.
    Zhou, Jeff J.
    Blitz, Ira L.
    Fish, Margaret B.
    Charney, Rebekah M.
    Cho, Jin Sun
    Yasuoka, Yuuri
    Sudou, Norihiro
    Bright, Ann Rose
    Wlizla, Marcin
    Veenstra, Gert Jan C.
    Taira, Masanori
    Zorn, Aaron M.
    Mortazavi, Ali
    Cho, Ken W. Y.
    CELL REPORTS, 2022, 38 (07):
  • [26] Multi-omic integration of microbiome data for identifying disease-associated modules
    Efrat Muller
    Itamar Shiryan
    Elhanan Borenstein
    Nature Communications, 15
  • [27] Integration and analysis of genome-scale data from gliomas
    Gregory Riddick
    Howard A. Fine
    Nature Reviews Neurology, 2011, 7 : 439 - 450
  • [28] Integration and analysis of genome-scale data from gliomas
    Riddick, Gregory
    Fine, Howard A.
    NATURE REVIEWS NEUROLOGY, 2011, 7 (08) : 439 - 450
  • [29] Cancer driver mutation prediction through Bayesian integration of multi-omic data
    Wang, Zixing
    Ng, Kwok-Shing
    Chen, Tenghui
    Kim, Tae-Beom
    Wang, Fang
    Shaw, Kenna
    Scott, Kenneth L.
    Meric-Bernstam, Funda
    Mills, Gordon B.
    Chen, Ken
    PLOS ONE, 2018, 13 (05):
  • [30] Multi-omic integration of microbiome data for identifying disease-associated modules
    Muller, Efrat
    Shiryan, Itamar
    Borenstein, Elhanan
    NATURE COMMUNICATIONS, 2024, 15 (01)